@article {70285, title = {Whole-brain co-mapping of gene expression and neuronal activity at cellular resolution in behaving zebrafish}, journal = {bioRxiv}, year = {2026}, month = {2026 Feb 10}, abstract = {

The brain{\textquoteright}s capabilities rely on both the molecular properties of individual cells and their interactions across brain-wide networks. However, relating gene expression to activity in individual neurons across the entire brain remains elusive. Here we developed an experimental-computational platform, WARP, for whole-brain imaging of neuronal activity during behavior, expansion-assisted spatial transcriptomics, and cellular-level registration of these two modalities. Through joint analysis of whole-brain neuronal activity during multiple behaviors, cellular gene expression, and anatomy, we identified functions of molecularly defined populations {\textemdash} including luminance coding in a cckb-pou4f2 midbrain population and task-structured activity in pvalb7-eomesa hippocampal-like neurons {\textemdash} and defined over 2,000 other function-gene-anatomy subpopulations. Analysis of this unprecedented multimodal dataset also revealed that most gene-matched neurons showed stronger activity correlations, highlighting a brain-wide role for gene expression in functional organization. WARP establishes a foundational platform and open-access dataset for cross-experiment discovery, high-throughput function-to-gene mapping, unification of cell biology and systems neuroscience, and scalable circuit modeling at the whole-brain scale.

}, doi = {10.64898/2026.02.07.704095}, url = {https://www.biorxiv.org/content/early/2026/02/10/2026.02.07.704095}, author = {Marquez Legorreta, Emmanuel and Fleishman, Greg M. and Hesselink, Luuk W. and Eddison, Mark and Smeets, Kasper and Stringer, Carsen and Keller, Philipp J. and Narayan, Sujatha and Chen, Alex B. and Mensh, Brett D. and Sternson, Scott M. and Englitz, Bernhard and Tillberg, Paul W. and Ahrens, Misha B.} } @article {69290, title = {Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning}, journal = {Nature}, volume = {643}, year = {2025}, month = {2025 Jul}, abstract = {

The body of an animal influences how its nervous system generates behavior1. Accurately modeling the neural control of sensorimotor behavior requires an anatomically detailed biomechanical representation of the body. Here, we introduce a whole-body model of the fruit fly Drosophila melanogaster in a physics simulator. Designed as a general-purpose framework, our model enables the simulation of diverse fly behaviors, including both terrestrial and aerial locomotion. We validate its versatility by replicating realistic walking and flight behaviors. To support these behaviors, we develop new phenomenological models for fluid and adhesion forces. Using data-driven, end-to-end reinforcement learning\ we train neural network controllers capable of generating naturalistic locomotion along complex trajectories in response to high-level steering commands. Additionally, we show the use of visual sensors and hierarchical motor control, training a high-level controller to reuse a pre-trained low-level flight controller to perform visually guided flight tasks. Our model serves as an open-source platform for studying the neural control of sensorimotor behavior in an embodied context.

Preprint:\ www.biorxiv.org/content/early/2024/03/14/2024.03.11.584515

}, doi = {10.1038/s41586-025-09029-4}, url = {https://doi.org/10.1038/s41586-025-09029-4}, author = {Roman Vaxenburg and Igor Siwanowicz and Josh Merel and Alice A Robie and Carmen Morrow and Guido Novati and Zinovia Stefanidi and Gwyneth M Card and Michael B Reiser and Matthew M Botvinick and Kristin M Branson and Yuval Tassa and Srinivas C Turaga} } @article {69839, title = {Whole-brain, all-optical interrogation of neuronal dynamics underlying gut interoception in zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 30}, abstract = {

Internal signals from the body and external signals from the environment are processed by brain-wide circuits to guide behavior. However, the complete brain-wide circuit activity underlying interoception{\textemdash}the perception of bodily signals{\textemdash}and its interactions with sensorimotor circuits remain unclear due to technical barriers to accessing whole-brain activity at the cellular level during organ physiology perturbations. We developed an all-optical system for whole-brain neuronal imaging in behaving larval zebrafish during optical uncaging of gut-targeted nutrients and visuo-motor stimulation. Widespread neural activity throughout the brain encoded nutrient delivery, unfolding on multiple timescales across many specific peripheral and central regions. Evoked activity depended on delivery location and occurred with amino acids and D-glucose, but not L-glucose. Many gut-sensitive neurons also responded to swimming and visual stimuli, with brainstem areas primarily integrating gut and motor signals and midbrain regions integrating gut and visual signals. This platform links body-brain communication studies to brain-wide neural computation in awake, behaving vertebrates.

}, doi = {10.1101/2025.03.26.645305}, url = {https://www.biorxiv.org/content/early/2025/03/30/2025.03.26.645305}, author = {Chen, Weiyu and James, Ben and Ruetten, Virginia M. S. and Banala, Sambashiva and Wei, Ziqiang and Fleishman, Greg and Rubinov, Mikail and Fishman, Mark C. and Engert, Florian and Lavis, Luke D. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {69855, title = {Wnt/β-catenin signalling assists cell fate decision making in the early mouse embryo}, journal = {bioRxiv}, year = {2025}, month = {2025 Apr 15}, abstract = {

Cell fate choice is a key event happening during preimplantation mouse development. From embryonic day 3.5 (E3.5) to E4.5, the inner cell mass (ICM) differentiates into epiblast (Epi, NANOG expressing cells) and primitive endoderm (PrE, GATA6, SOX17 and/or GATA4 expressing cells). The mechanism by which ICM cells differentiate into Epi cells and PrE cells remains partially unknown. FGF/ERK has been proposed as the main signalling pathway for this event, but it does not explain co-expression of NANOG and GAT6 or how the cell fate choice is initiated.

In this study, we investigate whether Wnt/β-catenin signalling also plays a role. To this end, we use two\ in vitro\ models based on inducible GATA6 expression: one in 2D, and another in 3D, namely ICM organoids. By combining these\ in vitro\ models with\ in vivo\ mouse embryos, chemical and classical genetics, and quantitative 3D immunofluorescence analyses, we propose a dual role for Wnt/β-catenin signalling.

We find that β-catenin, acting alongside FGF/ERK signalling, helps to guide the cell fate choice towards PrE. Additionally, by regulating GATA6 and GATA4 stability, β-catenin further facilitates this choice. To summarise, we observe that pathway activation promotes PrE differentiation, while its inhibition stalls it.

SUMMARY STATEMENT\ Wnt/β-catenin signalling promotes PrE fate in mouse preimplantation embryos.

}, doi = {10.1101/2025.04.09.647220}, url = {https://www.biorxiv.org/content/early/2025/04/15/2025.04.09.647220}, author = {Lilao-Garz{\'o}n, Joaquin and Corujo-Simon, Elena and Vinyoles, Meritxell and Fischer, Sabine C. and Guill{\'e}n, Jos{\'e} and Balayo, Tina and Mu{\~n}oz-Descalzo, Silvia} } @article {69679, title = {Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning}, journal = {bioRxiv}, year = {2024}, month = {2024 Nov 22}, abstract = {

The body of an animal influences how the nervous system produces behavior. Therefore, detailed modeling of the neural control of sensorimotor behavior requires a detailed model of the body. Here we contribute an anatomically-detailed biomechanical whole-body model of the fruit fly Drosophila melanogaster in the MuJoCo physics engine. Our model is general-purpose, enabling the simulation of diverse fly behaviors, both on land and in the air. We demonstrate the generality of our model by simulating realistic locomotion, both flight and walking. To support these behaviors, we have extended MuJoCo with phenomenological models of fluid forces and adhesion forces. Through data-driven end-to-end reinforcement learning, we demonstrate that these advances enable the training of neural network controllers capable of realistic locomotion along complex trajectories based on high-level steering control signals. We demonstrate the use of visual sensors and the re-use of a pre-trained general-purpose flight controller by training the model to perform visually guided flight tasks. Our project is an open-source platform for modeling neural control of sensorimotor behavior in an embodied context.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2024.03.11.584515}, url = {https://www.biorxiv.org/content/early/2024/11/22/2024.03.11.584515}, author = {Vaxenburg, Roman and Siwanowicz, Igor and Merel, Josh and Robie, Alice A. and Morrow, Carmen and Novati, Guido and Stefanidi, Zinovia and Both, Gert-Jan and Card, Gwyneth M. and Reiser, Michael B. and Botvinick, Matthew M. and Branson, Kristin M. and Tassa, Yuval and Turaga, Srinivas C.} } @article {69634, title = {Why do we have so many excitatory neurons?}, journal = {bioRxiv}, year = {2024}, month = {2024 Oct 05}, abstract = {

Approximately four in five neurons are excitatory. This is true across functional regions and species. Why do we have so many excitatory neurons? Little is known. Here we provide a normative answer to this question. We designed a task-agnostic, learning-independent and experiment-testable measurement of functional complexity, which quantifies the network{\textquoteright}s ability to solve complex problems. Using the larval Drosophila whole-brain electron microscopy connectome, we discovered the optimal Excitatory-Inhibitory (E-I) ratio that maximizes the functional complexity: 75-81\% percentage of neurons are excitatory. This number is consistent with the true distribution observed via scRNA-seq. We found that the abundance of excitatory neurons confers an advantage in functional complexity, but only when inhibitory neurons are highly connected. In contrast, when the E-I identities are sampled uniformly (not dependent on connectivity), the optimal E-I ratio falls around equal population size, and its overall achieved functional complexity is sub-optimal. Our functional complexity measurement offers a normative explanation for the over-abundance of excitatory neurons in the brain. We anticipate that this approach will further uncover the functional significance of various neural network structures.

}, doi = {10.1101/2024.09.24.614724}, url = {https://doi.org/10.1101/2024.09.24.614724}, author = {Wang, Qingyang and Cardona, Albert and Zlatic, Marta and Vogelstein, Joshua T. and Priebe, Carey E.} } @article {69667, title = {Wireless recordings from dragonfly target detecting neurons during prey interception flight}, journal = {bioRxiv}, year = {2024}, month = {2024 Nov 13}, abstract = {

Target interception is a complex sensorimotor behavior which requires fine tuning of the sensory system and its strategic coordination with the motor system. Despite various theories about how interception is achieved, its neural implementation remains unknown. We have previously shown that hunting dragonflies employ a balance of reactive and predictive control to intercept prey, using sophisticated model driven predictions to account for expected prey and self-motion. Here we explore the neural substrate of this interception system by investigating a well-known class of target-selective descending neurons (TSDNs). These cells have long been speculated to underlie interception steering but have never been studied in a behaving dragonfly. We combined detailed neuroanatomy, high-precision kinematics data and state-of-the-art neural telemetry to measure TSDN activity during flight. We found that TSDNs are exquisitely tuned to prey angular size and speed at ethological distances, and that they synapse directly onto neck and wing motoneurons in an unusual manner. However, we found that TSDNs were only weakly active during flight and are thus unlikely to provide the primary steering signal. Instead, they appear to drive the foveating head movements that stabilize prey on the eye before and likely throughout the interception flight. We suggest the TSDN population implements the reactive portion of the interception steering control system, coordinating head and wing movements to compensate for unexpected prey motion.

}, doi = {10.1101/2024.11.12.622977}, url = {https://doi.org/10.1101/2024.11.12.622977}, author = {Lin, Huai-Ti and Siwanowicz, Igor and Leonardo, Anthony} } @article {67987, title = {When light meets biology - how the specimen affects quantitative microscopy.}, journal = {Journal of Cell Science}, volume = {135}, year = {2022}, month = {2022 Mar 15}, abstract = {

Fluorescence microscopy images should not be treated as perfect representations of biology. Many factors within the biospecimen itself can drastically affect quantitative microscopy data. Whereas some sample-specific considerations, such as photobleaching and autofluorescence, are more commonly discussed, a holistic discussion of sample-related issues (which includes less-routine topics such as quenching, scattering and biological anisotropy) is required to appropriately guide life scientists through the subtleties inherent to bioimaging. Here, we consider how the interplay between light and a sample can cause common experimental pitfalls and unanticipated errors when drawing biological conclusions. Although some of these discrepancies can be minimized or controlled for, others require more pragmatic considerations when interpreting image data. Ultimately, the power lies in the hands of the experimenter. The goal of this Review is therefore to survey how biological samples can skew quantification and interpretation of microscopy data. Furthermore, we offer a perspective on how to manage many of these potential pitfalls.

}, issn = {1477-9137}, doi = {10.1242/jcs.259656}, author = {Reiche, Michael A and Aaron, Jesse S and Boehm, Ulrike and DeSantis, Michael C and Hobson, Chad M and Khuon, Satya and Lee, Rachel M and Chew, Teng-Leong} } @article {67315, title = {Which image-based phenotypes are most promising for using AI to understand cellular functions and why?}, journal = {Cell Systems}, volume = {12}, year = {2021}, month = {2021 May 19}, pages = {384-387}, issn = {2405-4720}, doi = {10.1016/j.cels.2021.04.012}, author = {Lundberg, Emma and Funke, Jan and Uhlmann, Virginie and Gerlich, Daniel and Walter, Thomas and Carpenter, Ann and Coehlo, Luis Pedro} } @article {67750, title = {Whole-cell organelle segmentation in volume electron microscopy.}, journal = {Nature}, volume = {599}, year = {2021}, month = {2021 Nov 01}, pages = {141-46}, abstract = {

Cells contain hundreds of organelles and macromolecular assemblies. Obtaining a complete understanding of their intricate organization requires the nanometre-level, three-dimensional reconstruction of whole cells, which is only feasible with robust and scalable automatic methods. Here, to support the development of such methods, we annotated up to 35 different cellular organelle classes-ranging from endoplasmic reticulum to microtubules to ribosomes-in diverse sample volumes from multiple cell types imaged at a near-isotropic resolution of 4 nm per voxel with focused ion beam scanning electron microscopy (FIB-SEM). We trained deep learning architectures to segment these structures in 4 nm and 8 nm per voxel FIB-SEM volumes, validated their performance and showed that automatic reconstructions can be used to directly quantify previously inaccessible metrics including spatial interactions between cellular components. We also show that such reconstructions can be used to automatically register light and electron microscopy images for correlative studies. We have created an open data and open-source web repository, {\textquoteright}OpenOrganelle{\textquoteright}, to share the data, computer code and trained models, which will enable scientists everywhere to query and further improve automatic reconstruction of these datasets.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03977-3}, author = {Heinrich, Larissa and Bennett, Davis and Ackerman, David and Park, Woohyun and Bogovic, John and Eckstein, Nils and Petruncio, Alyson and Clements, Jody and Pang, Song and Xu, C Shan and Funke, Jan and Korff, Wyatt and Hess, Harald F and Lippincott-Schwartz, Jennifer and Saalfeld, Stephan and Weigel, Aubrey V} } @article {65278, title = {When does midbrain dopamine activity exert its effects on behavior?}, journal = {Nature Neuroscience}, volume = {23}, year = {2020}, month = {2020 Jan 13}, pages = {154-6}, issn = {1546-1726}, doi = {10.1038/s41593-019-0577-y}, author = {Coddington, Luke T} } @article {65633, title = {Whole-brain profiling of cells and circuits in mammals by tissue clearing and light-sheet microscopy.}, journal = {Neuron}, volume = {106}, year = {2020}, month = {2020 May 06}, pages = {369-387}, abstract = {

Tissue clearing and light-sheet microscopy have a 100-year-plus history, yet these fields have been combined only recently to facilitate novel experiments and measurements in neuroscience. Since tissue-clearing methods were first combined with modernized light-sheet microscopy a decade ago, the performance of both technologies has rapidly improved, broadening their applications. Here, we review the state of the art of tissue-clearing methods and light-sheet microscopy and discuss applications of these techniques in profiling cells and circuits in mice. We examine outstanding challenges and future opportunities for expanding these techniques to achieve brain-wide profiling of cells and circuits in primates and humans. Such integration will help provide a systems-level understanding of the physiology and pathology of our central nervous system.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.03.004}, author = {Ueda, Hiroki R and Dodt, Hans-Ulrich and Osten, Pavel and Economo, Michael N and Chandrashekar, Jayaram and Keller, Philipp J} } @article {65599, title = {Whole-brain profiling of cells and circuits in mammals by tissue clearing and light-sheet microscopy.}, journal = {Neuron}, volume = {106}, year = {2020}, month = {2020 May 06}, pages = {369-387}, abstract = {

Tissue clearing and light-sheet microscopy have a 100-year-plus history, yet these fields have been combined only recently to facilitate novel experiments and measurements in neuroscience. Since tissue-clearing methods were first combined with modernized light-sheet microscopy a decade ago, the performance of both technologies has rapidly improved, broadening their applications. Here, we review the state of the art of tissue-clearing methods and light-sheet microscopy and discuss applications of these techniques in profiling cells and circuits in mice. We examine outstanding challenges and future opportunities for expanding these techniques to achieve brain-wide profiling of cells and circuits in primates and humans. Such integration will help provide a systems-level understanding of the physiology and pathology of our central nervous system.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.03.004}, author = {Ueda, Hiroki R and Dodt, Hans-Ulrich and Osten, Pavel and Economo, Michael N and Chandrashekar, Jayaram and Keller, Philipp J} } @article {65656, title = {The wiring logic of an identified serotonergic neuron that spans sensory networks.}, journal = {Journal of Neuroscience}, volume = {40}, year = {2020}, month = {2020 Aug 12}, pages = {6309-27}, abstract = {

Serotonergic neurons project widely throughout the brain to modulate diverse physiological and behavioral processes. However, a single cell resolution understanding of the connectivity of serotonergic neurons is currently lacking. Using a whole-brain EM dataset of a female , we comprehensively determine the wiring logic of a broadly projecting serotonergic neuron (the "CSDn") that spans several olfactory regions. Within the antennal lobe, the CSDn differentially innervates each glomerulus, yet surprisingly, this variability reflects a diverse set of presynaptic partners, rather than glomerulus-specific differences in synaptic output, which is predominately to local interneurons. Moreover, the CSDn has distinct connectivity relationships with specific local interneuron subtypes, suggesting that the CSDn influences distinct aspects of local network processing. Across olfactory regions, the CSDn has different patterns of connectivity, even having different connectivity with individual projection neurons that also span these regions. Whereas the CSDn targets inhibitory local neurons in the antennal lobe, the CSDn has more distributed connectivity in the LH, preferentially synapsing with principal neuron types based on transmitter content. Lastly, we identify individual novel synaptic partners associated with other sensory domains that provide strong, top-down input to the CSDn. Taken together, our study reveals the complex connectivity of serotonergic neurons which combine the integration of local and extrinsic synaptic input in a nuanced, region-specific manner.All sensory systems receive serotonergic modulatory input. However, a comprehensive understanding of the synaptic connectivity of individual serotonergic neurons is lacking. In this study, we use a whole-brain EM microscopy dataset to comprehensively determine the wiring logic of a broadly projecting serotonergic neuron in the olfactory system of Collectively, our study demonstrates at a single cell level, the complex connectivity of serotonergic neurons within their target networks, identifies specific cell classes heavily targeted for serotonergic modulation in the olfactory system, and reveals novel extrinsic neurons that provide strong input to this serotonergic system outside of the context of olfaction. Elucidating the connectivity logic of individual modulatory neurons provides a ground plan for the seemingly heterogeneous effects of modulatory systems.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.0552-20.2020}, author = {Coates, Kaylynn E and Calle-Schuler, Steven A and Helmick, Levi M and Knotts, Victoria L and Martik, Brennah N and Salman, Farzaan and Warner, Lauren T and Valla, Sophia V and Bock, Davi D and Dacks, Andrew M} } @article {65296, title = {Wiring patterns from auditory sensory neurons to the escape and song-relay pathways in fruit flies.}, journal = {Journal of Comparative Neurology}, volume = {528}, year = {2020}, month = {2020 Aug 01}, pages = {2068}, abstract = {

Many animals rely on acoustic cues to decide what action to take next. Unraveling the wiring patterns of the auditory neural pathways is prerequisite for understanding such information processing. Here we reconstructed the first step of the auditory neural pathway in the fruit fly brain, from primary to secondary auditory neurons, at the resolution of transmission electron microscopy. By tracing axons of two major subgroups of auditory sensory neurons in fruit flies, low-frequency tuned Johnston{\textquoteright}s organ (JO)-B neurons and high-frequency tuned JO-A neurons, we observed extensive connections from JO-B neurons to the main second-order neurons in both the song-relay and escape pathways. In contrast, JO-A neurons connected strongly to a neuron in the escape pathway. Our findings suggest that heterogeneous JO neuronal populations could be recruited to modify escape behavior whereas only specific JO neurons contribute to courtship behavior. We also found that all JO neurons have postsynaptic sites at their axons. Presynaptic modulation at the output sites of JO neurons could affect information processing of the auditory neural pathway in flies. This article is protected by copyright. All rights reserved.

}, issn = {1096-9861}, doi = {10.1002/cne.24877}, author = {Kim, Hyunsoo and Horigome, Mihoko and Ishikawa, Yuki and Li, Feng and Lauritzen, J Scott and Card, Gwyneth and Bock, Davi D and Kamikouchi, Azusa} } @article {49576, title = {Whole-cell, 3D and multi-color STED imaging with exchangeable fluorophores.}, journal = {Nano Letters}, volume = {19}, year = {2018}, month = {2018 Dec 10}, pages = {500-5}, abstract = {

We demonstrate STED microscopy of whole bacterial and eukaryotic cells using fluorogenic labels that reversibly bind to their target structure. A constant exchange of labels guarantees the removal of photobleached fluorophores and their replacement by intact fluorophores, thereby circumventing bleaching-related limitations of STED super-resolution imaging. We achieve a constant labeling density and demonstrate a fluorescence signal for long and theoretically unlimited acquisition times. Using this concept, we demonstrate whole-cell, 3D, multi-color and live cell STED microscopy.

}, issn = {1530-6992}, doi = {10.1021/acs.nanolett.8b04385}, author = {Spahn, Christoph and Grimm, Jonathan B and Lavis, Luke D and Lampe, Marko and Heilemann, Mike} } @article {49246, title = {The world of the identified or digital neuron.}, journal = {Journal of Neurogenetics}, year = {2018}, month = {2018 May 23}, pages = {1-6}, abstract = {

In general, neurons in insects and many other invertebrate groups are individually recognizable, enabling us to assign an index number to specific neurons in a manner which is rarely possible in a vertebrate brain. This endows many studies on insect nervous systems with the opportunity to document neurons with great precision, so that in favourable cases we can return to the same neuron or neuron type repeatedly so as to recognize many separate morphological classes. The visual system of the fly{\textquoteright}s compound eye particularly provides clear examples of the accuracy of neuron wiring, allowing numerical comparisons between representatives of the same cell type, and estimates of the accuracy of their wiring.

}, issn = {1563-5260}, doi = {10.1080/01677063.2018.1474214}, author = {Meinertzhagen, Ian A} } @article {48461, title = {What can tiny mushrooms in fruit flies tell us about learning and memory?}, journal = {Neuroscience Research}, volume = {129}, year = {2017}, month = {2017 May 05}, pages = {8-16}, abstract = {

Nervous systems have evolved to translate external stimuli into appropriate behavioral responses. In an ever-changing environment, flexible adjustment of behavioral choice by experience-dependent learning is essential for the animal{\textquoteright}s survival. Associative learning is a simple form of learning that is widely observed from worms to humans. To understand the whole process of learning, we need to know how sensory information is represented and transformed in the brain, how it is changed by experience, and how the changes are reflected on motor output. To tackle these questions, studying numerically simple invertebrate nervous systems has a great advantage. In this review, I will feature the Pavlovian olfactory learning in the fruit fly, Drosophila melanogaster. The mushroom body is a key brain area for the olfactory learning in this organism. Recently, comprehensive anatomical information and the genetic tool sets were made available for the mushroom body circuit. This greatly accelerated the physiological understanding of the learning process. One of the key findings was dopamine-induced long-term synaptic plasticity that can alter the representations of stimulus valence. I will mostly focus on the new studies within these few years and discuss what we can possibly learn about the vertebrate systems from this model organism.

}, issn = {1872-8111}, doi = {10.1016/j.neures.2017.05.002}, author = {Hige, Toshihide} } @article {69342, title = {When complex neuronal structures may not matter}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 Feb 6}, pages = {e23508}, abstract = {

Much work has explored animal-to-animal variability and compensation in ion channel expression. Yet, little is known regarding the physiological consequences of morphological variability. We quantify animal-to-animal variability in cable lengths (CV = 0.4) and branching patterns in the Gastric Mill (GM) neuron, an identified neuron type with highly-conserved physiological properties in the crustacean stomatogastric ganglion (STG) of \textitCancer borealis. We examined passive GM electrotonic structure by measuring the amplitudes and apparent reversal potentials (E\textsubscriptrevs) of inhibitory responses evoked with focal glutamate photo-uncaging in the presence of TTX. Apparent E\textsubscriptrevs were relatively invariant across sites (mean CV {\textpm} SD = 0.04 {\textpm} 0.01; 7{\textendash}20 sites in each of 10 neurons), which ranged between 100{\textendash}800 {\textmu}m from the somatic recording site. Thus, GM neurons are remarkably electrotonically compact (estimated λ \> 1.5 mm). Electrotonically compact structures, in consort with graded transmission, provide an elegant solution to observed morphological variability in the STG.

}, keywords = {electrotonus, morphology, Stomatogastric ganglion, variability, \textitCancer borealis}, issn = {2050-084X}, doi = {10.7554/eLife.23508}, url = {https://doi.org/10.7554/eLife.23508}, author = {Otopalik, Adriane G and Sutton, Alexander C and Banghart, Matthew and Marder, Eve}, editor = {Raman, Indira M} } @article {48497, title = {Whole-brain serial-section electron microscopy in larval zebrafish.}, journal = {Nature}, volume = {545}, year = {2017}, month = {2017 May 18}, pages = {345-349}, abstract = {

High-resolution serial-section electron microscopy (ssEM) makes it possible to investigate the dense meshwork of axons, dendrites, and synapses that form neuronal circuits. However, the imaging scale required to comprehensively reconstruct these structures is more than ten orders of magnitude smaller than the spatial extents occupied by networks of interconnected neurons, some of which span nearly the entire brain. Difficulties in generating and handling data for large volumes at nanoscale resolution have thus restricted vertebrate studies to fragments of circuits. These efforts were recently transformed by advances in computing, sample handling, and imaging techniques, but high-resolution examination of entire brains remains a challenge. Here, we present ssEM data for the complete brain of a larval zebrafish (Danio rerio) at 5.5 days post-fertilization. Our approach utilizes multiple rounds of targeted imaging at different scales to reduce acquisition time and data management requirements. The resulting dataset can be analysed to reconstruct neuronal processes, permitting us to survey all myelinated axons (the projectome). These reconstructions enable precise investigations of neuronal morphology, which reveal remarkable bilateral symmetry in myelinated reticulospinal and lateral line afferent axons. We further set the stage for whole-brain structure-function comparisons by co-registering functional reference atlases and in vivo two-photon fluorescence microscopy data from the same specimen. All obtained images and reconstructions are provided as an open-access resource.

}, issn = {1476-4687}, doi = {10.1038/nature22356}, author = {Hildebrand, David Grant Colburn and Cicconet, Marcelo and Torres, Russel Miguel and Choi, Woohyuk and Quan, Tran Minh and Moon, Jungmin and Wetzel, Arthur Willis and Scott Champion, Andrew and Graham, Brett Jesse and Randlett, Owen and Plummer, George Scott and Portugues, Ruben and Bianco, Isaac Henry and Saalfeld, Stephan and Baden, Alexander David and Lillaney, Kunal and Burns, Randal and Vogelstein, Joshua Tzvi and Schier, Alexander Franz and Lee, Wei-Chung Allen and Jeong, Won-Ki and Lichtman, Jeff William and Engert, Florian} } @article {48370, title = {Whole-cell recording in the awake brain.}, journal = {Cold Spring Harbor Protocols}, volume = {2017}, year = {2017}, month = {2017 Apr 03}, pages = {pdb.top087304}, abstract = {

Intracellular recording is an essential technique for investigating cellular mechanisms underlying complex brain functions. Despite the high sensitivity of the technique to mechanical disturbances, intracellular recording has been applied to awake, behaving, and even freely moving, animals. Here we summarize recent advances in these methods and their application to the measurement and manipulation of membrane potential dynamics for understanding neuronal computations in behaving animals.

}, issn = {1559-6095}, doi = {10.1101/pdb.top087304}, author = {Lee, Doyun and Lee, Albert K} } @article {48217, title = {Wiring the Drosophila brain with individually tailored neural lineages.}, journal = {Current Biology : CB}, volume = {27}, year = {2017}, month = {2017 Jan 23}, pages = {R77-R82}, abstract = {

A complex brain consists of multiple intricate neural networks assembled from distinct sets of input and output neurons as well as region-specific local interneurons. Within a given anatomical set, there exist diverse neuronal types that can vary in morphology, neural physiology, and modes of neurotransmission. The genetic programs that guide specification of neuronal types during neurogenesis preconfigure the brain. This is best demonstrated in the Drosophila central brain, which is composed of \~{}100 pairs of individually tailored neuronal lineages. Each neuronal lineage (the neurons/glia produced from a single stem cell) can contain multiple morphological classes of neurons that can consist of many analogous neuronal types. The detailed patterns of neuronal diversification are lineage-specific and can differ drastically even among neighboring neuronal lineages. Furthermore, the interrelationships between neuronal lineages and neural networks are complex. These phenomena underscore the importance of tracking all neuronal lineages in understanding brain development and evolution.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2016.12.026}, author = {Lee, Tzumin} } @article {47814, title = {Whole-animal imaging with high spatio-temporal resolution.}, journal = {Proceedings of SPIE}, volume = {9720}, year = {2016}, month = {2016 Jul 18}, pages = {97200R}, abstract = {

We developed isotropic multiview (IsoView) light-sheet microscopy in order to image fast cellular dynamics, such as cell movements in an entire developing embryo or neuronal activity throughput an entire brain or nervous system, with high resolution in all dimensions, high imaging speeds, good physical coverage and low photo-damage. To achieve high temporal resolution and high spatial resolution at the same time, IsoView microscopy rapidly images large specimens via simultaneous light-sheet illumination and fluorescence detection along four orthogonal directions. In a post-processing step, these four views are then combined by means of high-throughput multiview deconvolution to yield images with a system resolution of <= 450 nm in all three dimensions. Using IsoView microscopy, we performed whole-animal functional imaging of Drosophila embryos and larvae at a spatial resolution of 1.1-2.5 μm and at a temporal resolution of 2 Hz for up to 9 hours. We also performed whole-brain functional imaging in larval zebrafish and multicolor imaging of fast cellular dynamics across entire, gastrulating Drosophila embryos with isotropic, sub-cellular resolution. Compared with conventional (spatially anisotropic) light-sheet microscopy, IsoView microscopy improves spatial resolution at least sevenfold and decreases resolution anisotropy at least threefold. Compared with existing high-resolution light-sheet techniques, such as lattice lightsheet microscopy or diSPIM, IsoView microscopy effectively doubles the penetration depth and provides subsecond temporal resolution for specimens 400-fold larger than could previously be imaged.

}, isbn = {978-162841954-2}, issn = { 0277786X}, doi = {10.1117/12.2212564}, author = {Chhetri, Raghav and Amat, Fernando and Wan, Yinan and H{\"o}ckendorf, Burkhard and Lemon, William C and Keller, Philipp J} } @article {47486, title = {The wiring diagram of a glomerular olfactory system.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 May 13}, abstract = {

The sense of smell enables animals to react to long-distance cues according to learned and innate valences. Here, we have mapped with electron microscopy the complete wiring diagram of the Drosophila larval antennal lobe, an olfactory neuropil similar to the vertebrate olfactory bulb. We found a canonical circuit with uniglomerular projection neurons (uPNs) relaying gain-controlled ORN activity to the mushroom body and the lateral horn. A second, parallel circuit with multiglomerular projection neurons (mPNs) and hierarchically connected local neurons (LNs) selectively integrates multiple ORN signals already at the first synapse. LN-LN synaptic connections putatively implement a bistable gain control mechanism that either computes odor saliency through panglomerular inhibition, or allows some glomeruli to respond to faint aversive odors in the presence of strong appetitive odors. This complete wiring diagram will support experimental and theoretical studies towards bridging the gap between circuits and behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.14859}, author = {Berck, Matthew E and Khandelwal, Avinash and Claus, Lindsey and Hernandez-Nunez, Luis and Si, Guangwei and Tabone, Christopher J and Li, Feng and Truman, James W and Fetter, Richard D and Louis, Matthieu and Samuel, Aravinthan Dt and Cardona, Albert} } @article {46314, title = {Whisking.}, journal = {Current Biology}, volume = {25}, year = {2015}, month = {2015 Feb 16}, pages = {R137-40}, abstract = {

Eyes may be {\textquoteright}the window to the soul{\textquoteright} in humans, but whiskers provide a better path to the inner lives of rodents. The brain has remarkable abilities to focus its limited resources on information that matters, while ignoring a cacophony of distractions. While inspecting a visual scene, primates foveate to multiple salient locations, for example mouths and eyes in images of people, and ignore the rest. Similar processes have now been observed and studied in rodents in the context of whisker-based tactile sensation. Rodents use their mechanosensitive whiskers for a diverse range of tactile behaviors such as navigation, object recognition and social interactions. These animals move their whiskers in a purposive manner to locations of interest. The shapes of whiskers, as well as their movements, are exquisitely adapted for tactile exploration in the dark tight burrows where many rodents live. By studying whisker movements during tactile behaviors, we can learn about the tactile information available to rodents through their whiskers and how rodents direct their attention. In this primer, we focus on how the whisker movements of rats and mice are providing clues about the logic of active sensation and the underlying neural mechanisms.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2015.01.008}, author = {Sofroniew, Nicholas J and Svoboda, Karel} } @inbook {47184, title = {Who is talking to whom: Synaptic partner detection in anisotropic volumes of insect brain.}, booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015}, number = {9349}, year = {2015}, pages = {661-8}, abstract = {

Automated reconstruction of neural connectivity graphs from electron microscopy image stacks is an essential step towards large-scale neural circuit mapping. While significant progress has recently been made in automated segmentation of neurons and detection of synapses, the problem of synaptic partner assignment for polyadic (one-to-many) synapses, prevalent in the\ Drosophila\ brain, remains unsolved. In this contribution, we propose a method which automatically assigns pre- and postsynaptic roles to neurites adjacent to a synaptic site. The method constructs a probabilistic graphical model over potential synaptic partner pairs which includes factors to account for a high rate of one-to-many connections, as well as the possibility of the same neuron to be pre-synaptic in one synapse and post-synaptic in another. The algorithm has been validated on a publicly available stack of ssTEM images of\ Drosophila\ neural tissue and has been shown to reconstruct most of the synaptic relations correctly.

}, doi = {10.1007/978-3-319-24553-9_81}, author = {Kreshuk, Anna and Funke, Jan and Cardona, Albert and Hamprecht, Fred A} } @article {47116, title = {Whole-animal functional and developmental imaging with isotropic spatial resolution}, journal = {Nature Methods}, volume = {12}, year = {2015}, month = {2015 Oct 26}, pages = {1171-8}, abstract = {

Imaging fast cellular dynamics across large specimens requires high resolution in all dimensions, high imaging speeds, good physical coverage and low photo-damage. To meet these requirements, we developed isotropic multiview (IsoView) light-sheet microscopy, which rapidly images large specimens via simultaneous light-sheet illumination and fluorescence detection along four orthogonal directions. Combining these four views by means of high-throughput multiview deconvolution yields images with high resolution in all three dimensions. We demonstrate whole-animal functional imaging of Drosophila larvae at a spatial resolution of 1.1-2.5 μm and temporal resolution of 2 Hz for several hours. We also present spatially isotropic whole-brain functional imaging in Danio rerio larvae and spatially isotropic multicolor imaging of fast cellular dynamics across gastrulating Drosophila embryos. Compared with conventional light-sheet microscopy, IsoView microscopy improves spatial resolution at least sevenfold and decreases resolution anisotropy at least threefold. Compared with existing high-resolution light-sheet techniques, IsoView microscopy effectively doubles the penetration depth and provides subsecond temporal resolution for specimens 400-fold larger than could previously be imaged.

}, doi = {10.1038/nmeth.3632}, author = {Chhetri, Raghav K and Amat, Fernando and Wan, Yinan and H{\"o}ckendorf, Burkhard and Lemon, William C and Keller, Philipp J} } @article {48388, title = {Whole-brain activity mapping onto a zebrafish brain atlas.}, journal = {Nature methods}, volume = {12}, year = {2015}, month = {2015 Nov}, pages = {1039-46}, abstract = {

In order to localize the neural circuits involved in generating behaviors, it is necessary to assign activity onto anatomical maps of the nervous system. Using brain registration across hundreds of larval zebrafish, we have built an expandable open-source atlas containing molecular labels and definitions of anatomical regions, the Z-Brain. Using this platform and immunohistochemical detection of phosphorylated extracellular signal{\textendash}regulated kinase (ERK) as a readout of neural activity, we have developed a system to create and contextualize whole-brain maps of stimulus- and behavior-dependent neural activity. This mitogen-activated protein kinase (MAP)-mapping assay is technically simple, and data analysis is completely automated. Because MAP-mapping is performed on freely swimming fish, it is applicable to studies of nearly any stimulus or behavior. Here we demonstrate our high-throughput approach using pharmacological, visual and noxious stimuli, as well as hunting and feeding. The resultant maps outline hundreds of areas associated with behaviors.

}, keywords = {Algorithms, Animals, Automation, Behavior, Animal, Brain, Brain Mapping, Calcium, Extracellular Signal-Regulated MAP Kinases, Image Processing, Computer-Assisted, Immunohistochemistry, Microscopy, Confocal, Neurites, Neurons, Phosphorylation, Principal Component Analysis, Reproducibility of Results, Software, Swimming, Zebrafish}, issn = {1548-7105}, doi = {10.1038/nmeth.3581}, author = {Randlett, Owen and Wee, Caroline L and Naumann, Eva A and Nnaemeka, Onyeka and Schoppik, David and Fitzgerald, James E and Portugues, Ruben and Lacoste, Alix M B and Riegler, Clemens and Engert, Florian and Schier, Alexander F} } @article {46984, title = {Whole-central nervous system functional imaging in larval Drosophila.}, journal = {Nature Communications}, volume = {6}, year = {2015}, month = {2015 Aug 11}, pages = {7924}, abstract = {

Understanding how the brain works in tight concert with the rest of the central nervous system (CNS) hinges upon knowledge of coordinated activity patterns across the whole CNS. We present a method for measuring activity in an entire, non-transparent CNS with high spatiotemporal resolution. We combine a light-sheet microscope capable of simultaneous multi-view imaging at volumetric speeds 25-fold faster than the state-of-the-art, a whole-CNS imaging assay for the isolated Drosophila larval CNS and a computational framework for analysing multi-view, whole-CNS calcium imaging data. We image both brain and ventral nerve cord, covering the entire CNS at 2 or 5 Hz with two- or one-photon excitation, respectively. By mapping network activity during fictive behaviours and quantitatively comparing high-resolution whole-CNS activity maps across individuals, we predict functional connections between CNS regions and reveal neurons in the brain that identify type and temporal state of motor programs executed in the ventral nerve cord.

}, doi = {10.1038/ncomms8924}, author = {Lemon, William C and Pulver, Stefan R and H{\"o}ckendorf, Burkhard and McDole, Katie and Branson, Kristin M and Freeman, Jeremy and Keller, Philipp J} } @article {45778, title = {Whole-cell, multicolor superresolution imaging using volumetric multifocus microscopy.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {111}, year = {2014}, month = {2014 Dec 9}, pages = {17480-5}, abstract = {

Single molecule-based superresolution imaging has become an essential tool in modern cell biology. Because of the limited depth of field of optical imaging systems, one of the major challenges in superresolution imaging resides in capturing the 3D nanoscale morphology of the whole cell. Despite many previous attempts to extend the application of photo-activated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) techniques into three dimensions, effective localization depths do not typically exceed 1.2 {\textmu}m. Thus, 3D imaging of whole cells (or even large organelles) still demands sequential acquisition at different axial positions and, therefore, suffers from the combined effects of out-of-focus molecule activation (increased background) and bleaching (loss of detections). Here, we present the use of multifocus microscopy for volumetric multicolor superresolution imaging. By simultaneously imaging nine different focal planes, the multifocus microscope instantaneously captures the distribution of single molecules (either fluorescent proteins or synthetic dyes) throughout an \~{}4-{\textmu}m-deep volume, with lateral and axial localization precisions of \~{}20 and 50 nm, respectively. The capabilities of multifocus microscopy to rapidly image the 3D organization of intracellular structures are illustrated by superresolution imaging of the mammalian mitochondrial network and yeast microtubules during cell division.

}, issn = {1091-6490}, doi = {10.1073/pnas.1412396111}, author = {Hajj, Bassam and Wisniewski, Jan and El Beheiry, Mohamed and Chen, Jiji and Revyakin, Andrey and Wu, Carl and Dahan, Maxime} } @article {45041, title = {Whole-cell patch-clamp recordings in freely moving animals.}, journal = {Methods in Molecular Biology}, volume = {1183}, year = {2014}, month = {2014 Jun 20}, pages = {263-76}, abstract = {

The patch-clamp technique and the whole-cell measurements derived from it have greatly advanced our understanding of the coding properties of individual neurons by allowing for a detailed analysis of their excitatory/inhibitory synaptic inputs, intrinsic electrical properties, and morphology. Because such measurements require a high level of mechanical stability they have for a long time been limited to in vitro and anesthetized preparations. Recently, however, a considerable amount of effort has been devoted to extending these techniques to awake restrained/head-fixed preparations allowing for the study of the input-output functions of neurons during behavior. In this chapter we describe a technique extending patch-clamp recordings to awake animals free to explore their environments.

}, issn = {1940-6029}, doi = {10.1007/978-1-4939-1096-0_17}, author = {Lee, Albert K and Epsztein, J{\'e}r{\^o}me and Brecht, Michael} } @article {45176, title = {Wide-field feedback neurons dynamically tune early visual processing.}, journal = {Neuron}, volume = {82}, year = {2014}, month = {2014 May 21}, pages = {887-95}, abstract = {

An important strategy for efficient neural coding is to match the range of cellular responses to the distribution of relevant input signals. However, the structure and relevance of sensory signals depend on behavioral state. Here, we show that behavior modifies neural activity at the earliest stages of fly vision. We describe a class of wide-field neurons that provide feedback to the most peripheral layer of the Drosophila visual system, the lamina. Using in vivo patch-clamp electrophysiology, we found that lamina wide-field neurons respond to low-frequency luminance fluctuations. Recordings in flying flies revealed that the gain and frequency tuning of wide-field neurons change during flight, and that these effects are mimicked by the neuromodulator octopamine. Genetically silencing wide-field neurons increased behavioral responses to slow-motion stimuli. Together, these findings identify a cell type that is gated by behavior to enhance neural coding by subtracting low-frequency signals from the inputs to motion detection circuits.

}, keywords = {Adrenergic alpha-Agonists, Anesthetics, Local, Animals, Animals, Genetically Modified, Brain, Choline O-Acetyltransferase, Drosophila, Drosophila Proteins, Feedback, Sensory, Flight, Animal, Green Fluorescent Proteins, Membrane Potentials, Motion Perception, Neurons, Octopamine, Photic Stimulation, Tetrodotoxin, Transcription Factors, Visual Pathways}, issn = {1097-4199}, doi = {10.1016/j.neuron.2014.04.023}, author = {Tuthill, John C and Nern, Aljoscha and Rubin, Gerald M and Reiser, Michael B} } @article {6881, title = {Wiring economy can account for cell body placement across species and brain areas.}, journal = {Current biology : CB}, volume = {24}, year = {2014}, month = {2014 Feb 3}, pages = {R109-10}, abstract = {The placement of neuronal cell bodies relative to the neuropile differs among species and brain areas. Cell bodies can be either embedded as in mammalian cortex or segregated as in invertebrates and some other vertebrate brain areas. Why are there such different arrangements? Here we suggest that the observed arrangements may simply be a reflection of wiring economy, a general principle that tends to reduce the total volume of the neuropile and hence the volume of the inclusions in it. Specifically, we suggest that the choice of embedded versus segregated arrangement is determined by which neuronal component - the cell body or the neurite connecting the cell body to the arbor - has a smaller volume. Our quantitative predictions are in agreement with existing and new measurements.}, issn = {1879-0445}, doi = {10.1016/j.cub.2013.12.012}, author = {Rivera-Alba, Marta and Peng, Hanchuan and de Polavieja, Gonzalo G and Chklovskii, Dmitri B} } @article {46284, title = {Word length effect in free recall of randomly assembled word lists.}, journal = {Frontiers in Computational Neuroscience}, volume = {8}, year = {2014}, month = {2014 Oct 14}, pages = {129}, abstract = {

In serial recall experiments, human subjects are requested to retrieve a list of words in the same order as they were presented. In a classical study, participants were reported to recall more words from study lists composed of short words compared to lists of long words, the word length effect. The world length effect was also observed in free recall experiments, where subjects can retrieve the words in any order. Here we analyzed a large dataset from free recall experiments of unrelated words, where short and long words were randomly mixed, and found a seemingly opposite effect: long words are recalled better than the short ones. We show that our recently proposed mechanism of associative retrieval can explain both these observations. Moreover, the direction of the effect depends solely on the way study lists are composed.

}, issn = {1662-5188}, doi = {10.3389/fncom.2014.00129}, author = {Katkov, Mikhail and Romani, Sandro and Tsodyks, Misha} } @article {5937, title = {Whole-brain functional imaging at cellular resolution using light-sheet microscopy.}, journal = {Nature Methods}, volume = {10}, year = {2013}, month = {2013 May}, pages = {413-20}, abstract = {

Brain function relies on communication between large populations of neurons across multiple brain areas, a full understanding of which would require knowledge of the time-varying activity of all neurons in the central nervous system. Here we use light-sheet microscopy to record activity, reported through the genetically encoded calcium indicator GCaMP5G, from the entire volume of the brain of the larval zebrafish in vivo at 0.8 Hz, capturing more than 80\% of all neurons at single-cell resolution. Demonstrating how this technique can be used to reveal functionally defined circuits across the brain, we identify two populations of neurons with correlated activity patterns. One circuit consists of hindbrain neurons functionally coupled to spinal cord neuropil. The other consists of an anatomically symmetric population in the anterior hindbrain, with activity in the left and right halves oscillating in antiphase, on a timescale of 20 s, and coupled to equally slow oscillations in the inferior olive.

}, issn = {1548-7105}, doi = {10.1038/nmeth.2434}, author = {Ahrens, Misha B and Orger, Michael B. and Robson, Drew N and Li, Jennifer M and Keller, Philipp J} } @article {3919, title = {When is weight critical?}, journal = {The Journal of Experimental Biology}, volume = {214}, year = {2011}, month = {2011 May 15}, pages = {1613-5}, keywords = {20th Century, Animals, Biological, Body Size, Ecdysone, History, Juvenile Hormones, Manduca, Metamorphosis, Pupa}, issn = {1477-9145}, doi = {10.1242/jeb.049098}, author = {Riddiford, Lynn M} } @article {5385, title = {Wireless neural/EMG telemetry systems for small freely moving animals.}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {5}, year = {2011}, month = {2011 Apr}, pages = {103-11}, abstract = {

We have developed miniature telemetry systems that capture neural, EMG, and acceleration signals from a freely moving insect or other small animal and transmit the data wirelessly to a remote digital receiver. The systems are based on custom low-power integrated circuits (ICs) that amplify, filter, and digitize four biopotential signals using low-noise circuits. One of the chips also digitizes three acceleration signals from an off-chip microelectromechanical-system accelerometer. All information is transmitted over a wireless ~ 900-MHz telemetry link. The first unit, using a custom chip fabricated in a 0.6- μm BiCMOS process, weighs 0.79 g and runs for two hours on two small batteries. We have used this system to monitor neural and EMG signals in jumping and flying locusts as well as transdermal potentials in weakly swimming electric fish. The second unit, using a custom chip fabricated in a 0.35-μ m complementary metal-oxide semiconductor CMOS process, weighs 0.17 g and runs for five hours on a single 1.5-V battery. This system has been used to monitor neural potentials in untethered perching dragonflies.

}, issn = {1932-4545}, doi = {10.1109/TBCAS.2011.2131140}, author = {Harrison, Reid R. and Fotowat, Haleh and Chan, Raymond and Kier, Ryan J and Olberg, Robert and Leonardo, Anthony and Gabbiani, Fabrizio} } @article {4327, title = {Wiring economy and volume exclusion determine neuronal placement in the Drosophila brain.}, journal = {Current Biology}, volume = {21}, year = {2011}, month = {2011 Dec}, pages = {2000-5}, abstract = {

Wiring economy has successfully explained the individual placement of neurons in simple nervous systems like that of Caenorhabditis elegans [1-3] and the locations of coarser structures like cortical areas in complex vertebrate brains [4]. However, it remains unclear whether wiring economy can explain the placement of individual neurons in brains larger than that of C.\ elegans. Indeed, given the greater number of neuronal interconnections in larger brains, simply minimizing the length of connections results in unrealistic configurations, with multiple neurons occupying the same position in space. Avoiding such configurations, or volume exclusion, repels neurons from each other, thus counteracting wiring economy. Here we test whether wiring economy together with volume exclusion can explain the placement of neurons in a module of the Drosophila melanogaster brain known as lamina cartridge [5-13]. We used newly developed techniques for semiautomated reconstruction from serial electron microscopy (EM) [14] to obtain the shapes of neurons, the location of synapses, and the resultant synaptic connectivity. We show that wiring length minimization and volume exclusion together can explain the structure of the lamina microcircuit. Therefore, even in brains larger than that of C.\ elegans, at least for some circuits, optimization can play an important role in individual neuron placement.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2011.10.022}, author = {Rivera-Alba, Marta and Vitaladevuni, Shiv N. and Mischenko, Yuriy and Lu, Zhiyuan and Takemura, Shin-ya and Scheffer, Lou and Meinertzhagen, Ian and Chklovskii, Dmitri and Polavieja, Gonzalo} } @article {3759, title = {Walking modulates speed sensitivity in Drosophila motion vision.}, journal = {Current Biology}, volume = {20}, year = {2010}, month = {2010 Aug 24}, pages = {1470-5}, abstract = {

Changes in behavioral state modify neural activity in many systems. In some vertebrates such modulation has been observed and interpreted in the context of attention and sensorimotor coordinate transformations. Here we report state-dependent activity modulations during walking in a visual-motor pathway of Drosophila. We used two-photon imaging to monitor intracellular calcium activity in motion-sensitive lobula plate tangential cells (LPTCs) in head-fixed Drosophila walking on an air-supported ball. Cells of the horizontal system (HS){\textendash}a subgroup of LPTCs{\textendash}showed stronger calcium transients in response to visual motion when flies were walking rather than resting. The amplified responses were also correlated with walking speed. Moreover, HS neurons showed a relatively higher gain in response strength at higher temporal frequencies, and their optimum temporal frequency was shifted toward higher motion speeds. Walking-dependent modulation of HS neurons in the Drosophila visual system may constitute a mechanism to facilitate processing of higher image speeds in behavioral contexts where these speeds of visual motion are relevant for course stabilization.

}, keywords = {Animals, Calcium, Calcium Signaling, Drosophila, Motion Perception, Photic Stimulation, Walking}, issn = {1879-0445}, doi = {10.1016/j.cub.2010.06.072}, author = {Chiappe, M Eugenia and Seelig, Johannes D and Reiser, Michael B and Jayaraman, Vivek} } @proceedings {65006, title = {A wireless neural/EMG telemetry system for freely moving insects.}, year = {2010}, month = {2010 May 30}, abstract = {

We have developed a miniature telemetry system that captures neural, EMG, and acceleration signals from a freely moving insect and transmits the data wirelessly to a remote digital receiver. The system is based on a custom low-power integrated circuit that amplifies and digitizes four biopotential signals as well as three acceleration signals from an off-chip MEMS accelerometer, and transmits this information over a wireless 920-MHz telemetry link. The unit weighs 0.79 g and runs for two hours on two small batteries. We have used this system to monitor neural and EMG signals in jumping and flying locusts.

}, doi = {10.1109/ISCAS.2010.5538034}, author = {Reid R. Harrison and Ryan J. Kier and Anthony Leonardo and Haleh Fotowat and Raymond Chan and Fabrizio Gabbiani} } @conference {6450, title = {Which spatial partition trees are adaptive to intrinsic dimension?}, booktitle = {Conference on Uncertainty in Artificial Intelligence}, year = {2009}, month = {2009 Jun 18}, author = {Verma, N and Kpotufe, S and Dasgupta, S} } @article {2391, title = {Wnt signaling targets ETO coactivation domain of TAF4/TFIID in vivo.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {106}, year = {2009}, month = {2009 Jan 6}, pages = {55-60}, abstract = {

Understanding the diverse activities of the multisubunit core promoter recognition complex TFIID in vivo requires knowledge of how individual subunits contribute to overall functions of this TATA box-binding protein (TBP)/TBP-associated factor (TAF) complex. By generating altered holo-TFIID complexes in Drosophila we identify the ETO domain of TAF4 as a coactivator domain likely targeted by Pygopus, a protein that is required for Wingless-induced transcription of naked cuticle. These results establish a coactivator function of TAF4 and provide a strategy to dissect mechanisms of TFIID function in vivo.

}, keywords = {Animals, Binding Sites, Cell Line, Drosophila, Drosophila Proteins, Humans, Intracellular Signaling Peptides and Proteins, Larva, Multiprotein Complexes, Proto-Oncogene Proteins, Signal Transduction, TATA-Binding Protein Associated Factors, Transcription Factor TFIID, Transcription Factors, Tumor, Wnt Proteins}, issn = {1091-6490}, doi = {10.1073/pnas.1100640108}, author = {Wright, Kevin J and Tjian, Robert} } @article {6536, title = {Wnt-Ror signaling to SIA and SIB neurons directs anterior axon guidance and nerve ring placement in C. elegans.}, journal = {Development}, volume = {136}, year = {2009}, month = {2009 Nov}, pages = {3801-10}, abstract = {

Wnt signaling through Frizzled proteins guides posterior cells and axons in C. elegans into different spatial domains. Here we demonstrate an essential role for Wnt signaling through Ror tyrosine kinase homologs in the most prominent anterior neuropil, the nerve ring. A genetic screen uncovered cwn-2, the C. elegans homolog of Wnt5, as a regulator of nerve ring placement. In cwn-2 mutants, all neuronal structures in and around the nerve ring are shifted to an abnormal anterior position. cwn-2 is required at the time of nerve ring formation; it is expressed by cells posterior of the nerve ring, but its precise site of expression is not critical for its function. In nerve ring development, cwn-2 acts primarily through the Wnt receptor CAM-1 (Ror), together with the Frizzled protein MIG-1, with parallel roles for the Frizzled protein CFZ-2. The identification of CAM-1 as a CWN-2 receptor contrasts with CAM-1 action as a non-receptor in other C. elegans Wnt pathways. Cell-specific rescue of cam-1 and cell ablation experiments reveal a crucial role for the SIA and SIB neurons in positioning the nerve ring, linking Wnt signaling to specific cells that organize the anterior nervous system.

}, keywords = {Animals, Axons, Caenorhabditis elegans, Caenorhabditis elegans Proteins, Neurogenesis, Neurons, Receptor Protein-Tyrosine Kinases, Receptor Tyrosine Kinase-like Orphan Receptors, Signal Transduction, Wnt Proteins}, issn = {1477-9129}, doi = {10.1242/dev.038109}, author = {Kennerdell, Jason R and Fetter, Richard D and Bargmann, Cornelia I} } @article {4637, title = {Widefield fluorescence microscopy with extended resolution.}, journal = {Histochemistry and Cell Biology}, volume = {130}, year = {2008}, month = {2008 Nov}, pages = {807-17}, abstract = {

Widefield fluorescence microscopy is seeing dramatic improvements in resolution, reaching today 100 nm in all three dimensions. This gain in resolution is achieved by dispensing with uniform K{\"o}hler illumination. Instead, non-uniform excitation light patterns with sinusoidal intensity variations in one, two, or three dimensions are applied combined with powerful image reconstruction techniques. Taking advantage of non-linear fluorophore response to the excitation field, the resolution can be further improved down to several 10 nm. In this review article, we describe the image formation in the microscope and computational reconstruction of the high-resolution dataset when exciting the specimen with a harmonic light pattern conveniently generated by interfering laser beams forming standing waves. We will also discuss extensions to total internal reflection microscopy, non-linear microscopy, and three-dimensional imaging.

}, keywords = {Animals, Computer-Assisted, Confocal, Equipment Design, Fluorescence, Fluorescent Dyes, Humans, Image Enhancement, Image Processing, Imaging, Microscopy, Reproducibility of Results, Three-Dimensional}, issn = {0948-6143}, doi = {10.1007/s00418-008-0506-8}, author = {Stemmer, Andreas and Beck, Markus and Fiolka, Reto} } @article {2367, title = {When good enough is best.}, journal = {Neuron}, volume = {51}, year = {2006}, month = {2006 Aug 3}, pages = {277-8}, abstract = {

In this issue of Neuron, Rinberg et al. show that mice use a speed-accuracy tradeoff in odor discrimination. Shorter sampling results in high performance for easy problems, and enforced longer sampling results in higher accuracy for difficult problems, but mice freely choose intermediate sampling durations and accuracy varies with difficulty. Reward value and task requirements may determine sampling time choice and performance levels.

}, keywords = {Animals, Discrimination Learning, Mice, Reaction Time, Smell}, issn = {0896-6273}, doi = {10.1523/JNEUROSCI.3613-08.2008}, author = {Kay, Leslie M and Beshel, Jennifer and Martin, Claire} } @article {3936, title = {Where to start and when to stop.}, journal = {Nature Structural \& Molecular Biology}, volume = {13}, year = {2006}, month = {2006 Aug}, pages = {668-70}, abstract = {

The activity of a handful of transcription factors, such as mammalian NF-B, Drosophila melanogaster Cubitus interruptus and yeast Spt23 and Mga2, are regulated through partial protein degradation by the proteasome. New data now show that the proteasome activates membrane-bound Spt23 and Mga2 by initiating their proteolysis at an internal site and then degrading the proteins bidirectionally toward both ends of the polypeptide chain, modifying our ideas on how the proteasome degrades targeted substrates.

}, keywords = {Animals, DNA-Binding Proteins, Drosophila Proteins, Membrane Proteins, NF-kappa B, Oncogene Proteins, Proteasome Endopeptidase Complex, Protein Structure, Saccharomyces cerevisiae Proteins, Tertiary, Trans-Activators, Transcription Factors}, issn = {1545-9993}, doi = {10.1038/nsmb0806-668}, author = {Tian, Lin and Matouschek, Andreas} } @article {1342, title = {Whole-cell recordings in freely moving rats.}, journal = {Neuron}, volume = {51}, year = {2006}, month = {2006 Aug 17}, pages = {399-407}, abstract = {

Intracellular recording, which allows direct measurement of the membrane potential and currents of individual neurons, requires a very mechanically stable preparation and has thus been limited to in vitro and head-immobilized in vivo experiments. This restriction constitutes a major obstacle for linking cellular and synaptic physiology with animal behavior. To overcome this limitation we have developed a method for performing whole-cell recordings in freely moving rats. We constructed a miniature head-mountable recording device, with mechanical stabilization achieved by anchoring the recording pipette rigidly in place after the whole-cell configuration is established. We obtain long-duration recordings (mean of approximately 20 min, maximum 60 min) in freely moving animals that are remarkably insensitive to mechanical disturbances, then reconstruct the anatomy of the recorded cells. This head-anchored whole-cell recording technique will enable a wide range of new studies involving detailed measurement and manipulation of the physiological properties of identified cells during natural behaviors.

}, keywords = {Animal, Animals, Behavior, Brain, Electrodes, Implanted, Male, Membrane Potentials, Microelectrodes, Neurons, Newborn, Patch-Clamp Techniques, Rats, Sprague-Dawley, Wakefulness, Wistar}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.07.004}, author = {Lee, Albert K and Manns, Ian D and Sakmann, Bert and Brecht, Michael} } @article {45747, title = {Wing dimorphism in aphids.}, journal = {Heredity (Edinb)}, volume = {97}, year = {2006}, month = {2006 Sep}, pages = {192-9}, abstract = {

Many species of insects display dispersing and nondispersing morphs. Among these, aphids are one of the best examples of taxa that have evolved specialized morphs for dispersal versus reproduction. The dispersing morphs typically possess a full set of wings as well as a sensory and reproductive physiology that is adapted to flight and reproducing in a new location. In contrast, the nondispersing morphs are wingless and show adaptations to maximize fecundity. In this review, we provide an overview of the major features of the aphid wing dimorphism. We first provide a description of the dimorphism and an overview of its phylogenetic distribution. We then review what is known about the mechanisms underlying the dimorphism and end by discussing its evolutionary aspects.

}, keywords = {Animals, Aphids, Biological Evolution, Female, Hormones, Male, Polymorphism, Genetic, Wing}, issn = {0018-067X}, doi = {10.1038/sj.hdy.6800863}, author = {Braendle, C and Davis, G K and Brisson, J A and Stern, D L} } @article {1239, title = {Wiring optimization can relate neuronal structure and function.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {103}, year = {2006}, month = {2006 Mar 21}, pages = {4723-8}, abstract = {

We pursue the hypothesis that neuronal placement in animals minimizes wiring costs for given functional constraints, as specified by synaptic connectivity. Using a newly compiled version of the Caenorhabditis elegans wiring diagram, we solve for the optimal layout of 279 nonpharyngeal neurons. In the optimal layout, most neurons are located close to their actual positions, suggesting that wiring minimization is an important factor. Yet some neurons exhibit strong deviations from "optimal" position. We propose that biological factors relating to axonal guidance and command neuron functions contribute to these deviations. We capture these factors by proposing a modified wiring cost function.

}, keywords = {Animals, Caenorhabditis elegans, Models, Neurological, Neurons, Synapses}, issn = {0027-8424}, doi = {10.1371/journal.pcbi.1001066}, author = {Chen, Beth L and Hall, David H and Chklovskii, Dmitri B} } @article {2680, title = {Wlds protection distinguishes axon degeneration following injury from naturally occurring developmental pruning.}, journal = {Neuron}, volume = {50}, year = {2006}, month = {2006 Jun 15}, pages = {883-95}, abstract = {

Axon pruning by degeneration remodels exuberant axonal connections and is widely required for the development of proper circuitry in the nervous system from insects to mammals. Developmental axon degeneration morphologically resembles injury-induced Wallerian degeneration, suggesting similar underlying mechanisms. As previously reported for mice, we show that Wlds protein substantially delays Wallerian degeneration in flies. Surprisingly, Wlds has no effect on naturally occurring developmental axon degeneration in flies or mice, although it protects against injury-induced degeneration of the same axons at the same developmental age. By contrast, the ubiquitin-proteasome system is intrinsically required for both developmental and injury-induced axon degeneration. We also show that the glial cell surface receptor Draper is required for efficient clearance of axon fragments during developmental axon degeneration, similar to its function in injury-induced degeneration. Thus, mechanistically, naturally occurring developmental axon pruning by degeneration and injury-induced axon degeneration differ significantly in early steps, but may converge onto a common execution pathway.

}, keywords = {Animals, Axons, Developmental, Drosophila, Drosophila Proteins, Gene Expression Regulation, Genetically Modified, Inbred C57BL, Mice, Nerve Tissue Proteins, Wallerian Degeneration}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.05.013}, author = {Hoopfer, Eric D and McLaughlin, Todd and Watts, Ryan J and Schuldiner, Oren and O{\textquoteright}Leary, Dennis D M and Luo, Liqun} } @article {45803, title = {What you didn{\textquoteright}t know about evo-devo}, journal = {Development}, volume = {130}, year = {2003}, month = {12/2003}, pages = {5560-5561}, abstract = {

As most of us are aware, today{\textquoteright}s primary school, high school and undergraduate biology programs are struggling to incorporate even a fraction of the {\textquoteright}molecular revolution{\textquoteright}of biological knowledge and technologies that surround us. In the first term alone, life science and biology classes of the new millennia routinely cover condensed versions of the year-long classes taught in the 60s, 70s and 80s. Teachers no longer have the luxury of spending half a year presenting Mendel and his peas.

}, doi = {10.1242/dev.00767}, author = {David L Stern} } @article {4149, title = {Wind spectra and the response of the cercal system in the cockroach.}, journal = {Journal of Comparative Physiology. A, Neuroethology, Sensory, Neural, and Behavioral Physiology}, volume = {189}, year = {2003}, month = {2003 Dec}, pages = {867-76}, abstract = {

Experiments on the cercal wind-sensing system of the American cockroach, Periplaneta americana, showed that the firing rate of the interneurons coding wind information depends on the bandwidth of random noise wind stimuli. The firing rate was shown to increase with decreases in the stimulus bandwidth, and be independent of changes in the total power of the stimulus with constant spectral composition. A detailed analysis of ethologically relevant stimulus parameters is presented. A phenomenological model of these relationships and their relevance to wind-mediated cockroach behavior is proposed.

}, keywords = {Action Potentials, Afferent, Afferent Pathways, Animal, Animals, Behavior, Central Nervous System, Cockroaches, Escape Reaction, Ganglia, Interneurons, Invertebrate, Male, Mechanoreceptors, Models, Neurological, Neurons, Physical Stimulation, Touch, Wind}, issn = {0340-7594}, doi = {10.1007/s00359-003-0460-9}, author = {Rinberg, D and Davidowitz, H} } @article {1258, title = {Wiring optimization in cortical circuits.}, journal = {Neuron}, volume = {34}, year = {2002}, month = {2002 Apr 25}, pages = {341-7}, abstract = {

Wiring a brain presents a formidable problem because neural circuits require an enormous number of fast and durable connections. We propose that evolution was likely to have optimized neural circuits to minimize conduction delays in axons, passive cable attenuation in dendrites, and the length of "wire" used to construct circuits, and to have maximized the density of synapses. Here we ask the question: "What fraction of the volume should be taken up by axons and dendrites (i.e., wire) when these variables are at their optimal values?" The biophysical properties of axons and dendrites dictate that wire should occupy 3/5 of the volume in an optimally wired gray matter. We have measured the fraction of the volume occupied by each cellular component and find that the volume of wire is close to the predicted optimal value.

}, keywords = {Animals, Axons, Cerebral Cortex, Hippocampus, Mathematics, Mice, Nerve Net, Neurons}, issn = {0896-6273}, doi = {10.1016/j.tins.2005.05.006}, author = {Chklovskii, Dmitri B and Schikorski, Thomas and Stevens, Charles F} } @article {2705, title = {A whole-genome assembly of Drosophila.}, journal = {Science}, volume = {287}, year = {2000}, month = {2000 Mar 24}, pages = {2196-204}, abstract = {

We report on the quality of a whole-genome assembly of Drosophila melanogaster and the nature of the computer algorithms that accomplished it. Three independent external data sources essentially agree with and support the assembly{\textquoteright}s sequence and ordering of contigs across the euchromatic portion of the genome. In addition, there are isolated contigs that we believe represent nonrepetitive pockets within the heterochromatin of the centromeres. Comparison with a previously sequenced 2.9- megabase region indicates that sequencing accuracy within nonrepetitive segments is greater than 99. 99\% without manual curation. As such, this initial reconstruction of the Drosophila sequence should be of substantial value to the scientific community.

}, keywords = {Algorithms, Animals, Chromatin, Computational Biology, Contig Mapping, DNA, Drosophila melanogaster, Euchromatin, Genes, Genome, Heterochromatin, Insect, Molecular Sequence Data, Nucleic Acid, Physical Chromosome Mapping, Repetitive Sequences, Sequence Analysis, Sequence Tagged Sites}, issn = {0036-8075}, author = {Myers, E W and Sutton, G G and Delcher, A L and Dew, I M and Fasulo, D P and Flanigan, M J and Kravitz, S A and Mobarry, C M and Reinert, K H and Remington, K A and Anson, E L and Bolanos, R A and Chou, H H and Jordan, C M and Halpern, A L and Lonardi, S and Beasley, E M and Brandon, R C and Chen, L and Dunn, P J and Lai, Z and Liang, Y and Nusskern, D R and Zhan, M and Zhang, Q and Zheng, X and Rubin, G M and Adams, M D and Venter, J C} } @article {1270, title = {A wire length minimization approach to ocular dominance patterns in mammalian visual cortex.}, journal = {Physica A}, volume = {284}, year = {2000}, month = {2000}, pages = {318-34}, author = {Chklovskii, Dmitri B and Koulakov, Alexei A} } @article {45821, title = {Wing buzzing by male orchid bees, Eulaema meriana (Hymenoptera: Apidae)}, journal = {Journal of the Kansas Entomological Society}, volume = {64}, year = {1991}, pages = {88-94}, abstract = {

Male orchid bees of the species Eulaema meriana buzz their wings while stationary at territory perches. During buzzing, wings are first positioned laterally and then moved in a plane parallel to the ground, which probably generates a substantial airflow past the body. Within a perching episode, the ratio of buzz to pause duration decreases nonlinearly. The incidence of wing buzzing increases with ambient temperature and with duration of activity. Bees never defended territories when ambient temperatures exceeded 28.5{\textdegree}C. Wing buzzing may be a visual or acoustic display to conspecifics, although the brightly colored abdomen is never obscured by the wings during buzzing, and the sounds of wing buzzing are low in amplitude. The increase in buzzing frequency with increased ambient temperature and the nonlinear decrease in buzz to pause duration during perching suggest that wing buzzing may be a thermoregulatory mechanism.

}, url = {http://www.jstor.org/stable/25085249}, author = {David L Stern and Robert Dudley} }