@article {69722, title = {Days-old zebrafish rapidly learn to recognize threatening agents through noradrenergic and forebrain circuits.}, journal = {Curr Biol}, volume = {35}, year = {2025}, month = {12/2024}, pages = {163-176.e4}, abstract = {

Animals need to rapidly learn to recognize and avoid predators. This ability may be especially important for young animals due to their increased vulnerability. It is unknown whether, and how, nascent vertebrates are capable of such rapid learning. Here, we used a robotic predator-prey interaction assay to show that 1\ week after fertilization-a developmental stage where they have approximately 1\% the number of neurons of adults-zebrafish larvae rapidly and robustly learn to recognize a stationary object as a threat after the object pursues the fish for \~{}1\ min. Larvae continue to avoid the threatening object after it stops moving and can learn to distinguish threatening from non-threatening objects of a different color. Whole-brain functional imaging revealed the multi-timescale activity of noradrenergic neurons and forebrain circuits that encoded the threat. Chemogenetic ablation of those populations prevented the learning. Thus, a noradrenergic and forebrain multiregional network underlies the ability of young vertebrates to rapidly learn to recognize potential predators within their first week of life.

}, keywords = {Adrenergic Neurons, Animals, Larva, Learning, Predatory Behavior, Prosencephalon, Zebrafish}, issn = {1879-0445}, doi = {10.1016/j.cub.2024.11.057}, author = {Zocchi, Dhruv and Nguyen, Millen and Marquez-Legorreta, Emmanuel and Siwanowicz, Igor and Singh, Chanpreet and Prober, David A and Hillman, Elizabeth M C and Ahrens, Misha B} } @article {69847, title = {Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals.}, journal = {Cell}, year = {2025}, month = {2025 Apr 04}, abstract = {

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord.

Preprint:\ https://doi.org/10.1101/2024.05.02.592259

}, issn = {1097-4172}, doi = {10.1016/j.cell.2025.03.012}, url = {https://doi.org/10.1016/j.cell.2025.03.012}, author = {Mi, Xuelong and Chen, Alex Bo-Yuan and Duarte, Daniela and Carey, Erin and Taylor, Charlotte R and Braaker, Philipp N and Bright, Mark and Almeida, Rafael G and Lim, Jing-Xuan and Ruetten, Virginia M S and Wang, Yizhi and Wang, Mengfan and Zhang, Weizhan and Zheng, Wei and Reitman, Michael E and Huang, Yongkang and Wang, Xiaoyu and Li, Lei and Deng, Hanfei and Shi, Song-Hai and Poskanzer, Kira E and Lyons, David A and Nimmerjahn, Axel and Ahrens, Misha B and Yu, Guoqiang} } @article {69773, title = {Live imaging of the extracellular matrix with a glycan-binding fluorophore.}, journal = {Nat Methods}, year = {2025}, month = {2025 Feb 06}, abstract = {

All multicellular systems produce and dynamically regulate extracellular matrices (ECMs) that play essential roles in both biochemical and mechanical signaling. Though the spatial arrangement of these extracellular assemblies is critical to their biological functions, visualization of ECM structure is challenging, in part because the biomolecules that compose the ECM are difficult to fluorescently label individually and collectively. Here, we present a cell-impermeable small-molecule fluorophore, termed Rhobo6, that turns on and red shifts upon reversible binding to glycans. Given that most ECM components are densely glycosylated, the dye enables wash-free visualization of ECM, in systems ranging from in vitro substrates to in vivo mouse mammary tumors. Relative to existing techniques, Rhobo6 provides a broad substrate profile, superior tissue penetration, non-perturbative labeling, and negligible photobleaching. This work establishes a straightforward method for imaging the distribution of ECM in live tissues and organisms, lowering barriers for investigation of extracellular biology.

}, issn = {1548-7105}, doi = {10.1038/s41592-024-02590-2}, url = {https://doi.org/10.1038/s41592-024-02590-2}, author = {Fiore, Antonio and Yu, Guoqiang and Northey, Jason J and Patel, Ronak and Ravenscroft, Thomas A. and Ikegami, Richard and Kolkman, W and Pratik Kumar and Dilan, Tanya L and Ruetten, Virginia M.S. and Ahrens, Misha B and Shroff, Hari and Wang, Shaohe and Weaver, Valarie M and Pedram, Kayvon} } @article {69614, title = {Voltage imaging reveals circuit computations in the raphe underlying serotonin-mediated motor vigor learning}, journal = {Neuron}, year = {2025}, month = {2025 Jun 06}, abstract = {

As animals adapt to new situations, neuromodulation is a potent way to alter behavior, yet mechanisms by which neuromodulatory nuclei compute during behavior are underexplored. The serotonergic raphe supports motor learning in larval zebrafish by visually detecting distance traveled during swims, encoding action effectiveness, and modulating motor vigor. We found that swimming opens a gate for visual input to cause spiking in serotonergic neurons, enabling encoding of action outcomes and filtering out learning-irrelevant visual signals. Using light-sheet microscopy, voltage sensors, and neurotransmitter/modulator sensors, we tracked millisecond-timescale neuronal input-output computations during behavior. Swim commands initially inhibited serotonergic neurons via GABA, closing the gate to spiking. Immediately after, the gate briefly opened: voltage increased consistent with post-inhibitory rebound, allowing swim-induced visual motion to evoke firing through glutamate, triggering serotonin secretion and modulating motor vigor. Ablating GABAergic neurons impaired raphe coding and motor learning. Thus, serotonergic neuromodulation arises from action-outcome coincidence detection within the raphe, suggesting the existence of similarly fast and precise circuit computations across neuromodulatory nuclei.

Preprint:\ https://doi.org/10.1101/2024.09.15.613083

}, doi = {10.1016/j.neuron.2025.05.017}, url = {https://doi.org/10.1016/j.neuron.2025.05.017}, author = {Kawashima, Takashi and Wei, Ziqiang and Haruvi, Ravid and Shainer, Inbal and Narayan, Sujatha and Baier, Herwig and Ahrens, Misha B} } @article {69454, title = {Astrocyte Calcium Signaling}, journal = {Cold Spring Harb Perspect Biol}, year = {2024}, month = {2024 May 20}, abstract = {

Astrocytes are predominant glial cells that tile the central nervous system and participate in well-established functional and morphological interactions with neurons, blood vessels, and other glia. These ubiquitous cells display rich intracellular Ca signaling, which has now been studied for over 30 years. In this review, we provide a summary and perspective of recent progress concerning the study of astrocyte intracellular Ca signaling as well as discussion of its potential functions. Progress has occurred in the areas of imaging, silencing, activating, and analyzing astrocyte Ca signals. These insights have collectively permitted exploration of the relationships of astrocyte Ca signals to neural circuit function and behavior in a variety of species. We summarize these aspects along with a framework for mechanistically interpreting behavioral studies to identify directly causal effects. We finish by providing a perspective on new avenues of research concerning astrocyte Ca signaling.

}, issn = {1943-0264}, doi = {10.1101/cshperspect.a041353}, author = {Ahrens, Misha B and Khakh, Baljit S and Poskanzer, Kira E} } @article {69535, title = {Closing the Experiment-Modeling-Perturbation Loop in Whole-Brain Neuroscience.}, journal = {Neurosci Bull}, year = {2024}, month = {2024 Jul 16}, issn = {1995-8218}, doi = {10.1007/s12264-024-01253-8}, author = {Ahrens, Misha B} } @article {69706, title = {Days-old zebrafish rapidly learn to recognize threatening agents through noradrenergic and forebrain circuits.}, journal = {Curr Biol}, year = {2024}, month = {2024 Dec 19}, abstract = {

Animals need to rapidly learn to recognize and avoid predators. This ability may be especially important for young animals due to their increased vulnerability. It is unknown whether, and how, nascent vertebrates are capable of such rapid learning. Here, we used a robotic predator-prey interaction assay to show that 1\ week after fertilization-a developmental stage where they have approximately 1\% the number of neurons of adults-zebrafish larvae rapidly and robustly learn to recognize a stationary object as a threat after the object pursues the fish for \~{}1\ min. Larvae continue to avoid the threatening object after it stops moving and can learn to distinguish threatening from non-threatening objects of a different color. Whole-brain functional imaging revealed the multi-timescale activity of noradrenergic neurons and forebrain circuits that encoded the threat. Chemogenetic ablation of those populations prevented the learning. Thus, a noradrenergic and forebrain multiregional network underlies the ability of young vertebrates to rapidly learn to recognize potential predators within their first week of life.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2024.11.057}, author = {Zocchi, Dhruv and Nguyen, Millen and Marquez-Legorreta, Emmanuel and Siwanowicz, Igor and Singh, Chanpreet and Prober, David A and Hillman, Elizabeth M C and Ahrens, Misha B} } @article {69703, title = {Ketamine induces plasticity in a norepinephrine-astroglial circuit to promote behavioral perseverance.}, journal = {Neuron}, year = {2024}, month = {2024 Dec 16}, pages = {1-15}, abstract = {

Transient exposure to ketamine can trigger lasting changes in behavior and mood. We found that brief ketamine exposure causes long-term suppression of futility-induced passivity in larval zebrafish, reversing the "giving-up" response that normally occurs when swimming fails to cause forward movement. Whole-brain imaging revealed that ketamine hyperactivates the norepinephrine-astroglia circuit responsible for passivity. After ketamine washout, this circuit exhibits hyposensitivity to futility, leading to long-term increased perseverance. Pharmacological, chemogenetic, and optogenetic manipulations show that norepinephrine and astrocytes are necessary and sufficient for ketamine{\textquoteright}s long-term perseverance-enhancing aftereffects. In\ vivo calcium imaging revealed that astrocytes in adult mouse cortex are similarly activated during futility in the tail suspension test and that acute ketamine exposure also induces astrocyte hyperactivation. The cross-species conservation of ketamine{\textquoteright}s modulation of noradrenergic-astroglial circuits and evidence that plasticity in this pathway can alter the behavioral response to futility hold promise for identifying new strategies to treat affective disorders.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2024.11.011}, url = {https://doi.org/10.1016/j.neuron.2024.11.011}, author = {Duque, Marc and Chen, Alex B and Hsu, Eric and Narayan, Sujatha and Rymbek, Altyn and Begum, Shahinoor and Saher, Gesine and Cohen, Adam E and Olson, David E and Li, Yulong and Prober, David A and Bergles, Dwight E and Fishman, Mark C and Engert, Florian and Ahrens, Misha B} } @article {68665, title = {Fast and sensitive GCaMP calcium indicators for imaging neural populations.}, journal = {Nature}, year = {2023}, month = {2023 Mar 15}, abstract = {

Calcium imaging with protein-based indicators is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators. The resulting {\textquoteright}jGCaMP8{\textquoteright} sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation.

}, issn = {1476-4687}, doi = {10.1038/s41586-023-05828-9}, author = {Zhang, Yan and Rozsa, Marton and Liang, Yajie and Bushey, Daniel and Wei, Ziqiang and Zheng, Jihong and Reep, Daniel and Broussard, Gerard Joey and Tsang, Arthur and Tsegaye, Getahun and Narayan, Sujatha and Obara, Christopher J and Lim, Jing-Xuan and Patel, Ronak and Zhang, Rongwei and Ahrens, Misha B and Turner, Glenn C and Wang, Samuel S-H and Korff, Wyatt L and Schreiter, Eric R and Svoboda, Karel and Hasseman, Jeremy P and Kolb, Ilya and Looger, Loren L} } @article {68674, title = {Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena.}, journal = {Cell Reports}, volume = {42}, year = {2023}, month = {2023 Mar 24}, pages = {112254}, abstract = {

Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2023.112254}, author = {Nanda, Aditya and Johnson, Graham W and Mu, Yu and Ahrens, Misha B and Chang, Catie and Englot, Dario J and Breakspear, Michael and Rubinov, Mikail} } @article {67890, title = {Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish.}, journal = {Neuron}, year = {2022}, month = {2022 Jan 24}, abstract = {

Motor systems must continuously adapt their output to maintain a desired trajectory. While the spinal circuits underlying rhythmic locomotion are well described, little is known about how the network modulates its output strength. A major challenge has been the difficulty of recording from spinal neurons during behavior. Here, we use voltage imaging to map the membrane potential of large populations of glutamatergic neurons throughout the spinal cord of the larval zebrafish during fictive swimming in a virtual environment. We characterized a previously undescribed subpopulation of tonic-spiking ventral V3 neurons whose spike rate correlated with swimming strength and bout length. Optogenetic activation of V3 neurons led to stronger swimming and longer bouts but did not affect tail beat frequency. Genetic ablation of V3 neurons led to reduced locomotor adaptation. The power of voltage imaging allowed us to identify V3 neurons as a critical driver of locomotor adaptation in zebrafish.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.01.001}, author = {B{\"o}hm, Urs L and Kimura, Yukiko and Kawashima, Takashi and Ahrens, Misha B and Higashijima, Shin-Ichi and Engert, Florian and Cohen, Adam E} } @article {67991, title = {Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish.}, journal = {Neuron}, volume = {110}, year = {2022}, month = {2022 Apr 06}, pages = {1211-1222.e4}, abstract = {

Motor systems must continuously adapt their output to maintain a desired trajectory. While the spinal circuits underlying rhythmic locomotion are well described, little is known about how the network modulates its output strength. A major challenge has been the difficulty of recording from spinal neurons during behavior. Here, we use voltage imaging to map the membrane potential of large populations of glutamatergic neurons throughout the spinal cord of the larval zebrafish during fictive swimming in a virtual environment. We characterized a previously undescribed subpopulation of tonic-spiking ventral V3 neurons whose spike rate correlated with swimming strength and bout length. Optogenetic activation of V3 neurons led to stronger swimming and longer bouts but did not affect tail beat frequency. Genetic ablation of V3 neurons led to reduced locomotor adaptation. The power of voltage imaging allowed us to identify V3 neurons as a critical driver of locomotor adaptation in zebrafish.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.01.001}, author = {B{\"o}hm, Urs L and Kimura, Yukiko and Kawashima, Takashi and Ahrens, Misha B and Higashijima, Shin-Ichi and Engert, Florian and Cohen, Adam E} } @article {67781, title = {Cre-Dependent Anterograde Transsynaptic Labeling and Functional Imaging in Zebrafish Using VSV With Reduced Cytotoxicity.}, journal = {Frontiers in Neuroanatomy}, volume = {15}, year = {2021}, month = {2021 Oct 06}, pages = {758350}, abstract = {

The small size and translucency of larval zebrafish () have made it a unique experimental system to investigate whole-brain neural circuit structure and function. Still, the connectivity patterns between most neuronal types remain mostly unknown. This gap in knowledge underscores the critical need for effective neural circuit mapping tools, especially ones that can integrate structural and functional analyses. To address this, we previously developed a vesicular stomatitis virus (VSV) based approach called Tracer with Restricted Anterograde Spread (TRAS). TRAS utilizes lentivirus to complement replication-incompetent VSV (VSVΔG) to allow restricted (monosynaptic) anterograde labeling from projection neurons to their target cells in the brain. Here, we report the second generation of TRAS (TRAS-M51R), which utilizes a mutant variant of VSVΔG [VSV(M51R)ΔG] with reduced cytotoxicity. Within the primary visual pathway, we found that TRAS-M51R significantly improved long-term viability of transsynaptic labeling (compared to TRAS) while maintaining anterograde spread activity. By using Cre-expressing VSV(M51R)ΔG, TRAS-M51R could selectively label excitatory ( positive) and inhibitory ( positive) retinorecipient neurons. We further show that these labeled excitatory and inhibitory retinorecipient neurons retained neuronal excitability upon visual stimulation at 5-8 days post fertilization (2-5 days post-infection). Together, these findings show that TRAS-M51R is suitable for neural circuit studies that integrate structural connectivity, cell-type identity, and neurophysiology.

}, issn = {1662-5129}, doi = {10.3389/fnana.2021.758350}, author = {Kler, Stanislav and Ma, Manxiu and Narayan, Sujatha and Ahrens, Misha B and Pan, Y Albert} } @article {65797, title = {Brain-wide, scale-wide physiology underlying behavioral flexibility in zebrafish.}, journal = {Current Opinion in Neurobiology}, volume = {64}, year = {2020}, month = {2020 Oct 19}, pages = {151-160}, abstract = {

The brain is tasked with choosing actions that maximize an animal{\textquoteright}s chances of survival and reproduction. These choices must be flexible and informed by the current state of the environment, the needs of the body, and the outcomes of past actions. This information is physiologically encoded and processed across different brain regions on a wide range of spatial scales, from molecules in single synapses to networks of brain areas. Uncovering these spatially distributed neural interactions underlying behavior requires investigations that span a similar range of spatial scales. Larval zebrafish, given their small size, transparency, and ease of genetic access, are a good model organism for such investigations, allowing the use of modern microscopy, molecular biology, and computational techniques. These approaches are yielding new insights into the mechanistic basis of behavioral states, which we review here and compare to related studies in mammalian species.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2020.08.013}, author = {Mu, Yu and Narayan, Sujatha and Mensh, Brett D and Ahrens, Misha B} } @article {65650, title = {Bright and high-performance genetically encoded Ca indicator based on mNeonGreen fluorescent protein.}, journal = {ACS Sensors}, year = {2020}, month = {2020 Jul 08}, abstract = {

Genetically encodable calcium ion (Ca) indicators (GECIs) based on green fluorescent proteins (GFP) are powerful tools for imaging of cell signaling and neural activity in model organisms. Following almost 2 decades of steady improvements in the GFP-based GCaMP series of GECIs, the performance of the most recent generation (i.e., jGCaMP7) may have reached its practical limit due to the inherent properties of GFP. In an effort to sustain the steady progression toward ever-improved GECIs, we undertook the development of a new GECI based on the bright monomeric GFP, mNeonGreen (mNG). The resulting indicator, mNG-GECO1, is 60\% brighter than GCaMP6s in vitro and provides comparable performance as demonstrated by imaging Ca dynamics in cultured cells, primary neurons, and in vivo in larval zebrafish. These results suggest that mNG-GECO1 is a promising next-generation GECI that could inherit the mantle of GCaMP and allow the steady improvement of GECIs to continue for generations to come.

}, issn = {2379-3694}, doi = {10.1021/acssensors.0c00279}, author = {Zarowny, Landon and Abhi Aggarwal and Rutten, Virginia M S and Kolb, Ilya and Patel, Ronak and Huang, Hsin-Yi and Chang, Yu-Fen and Phan, Tiffany and Kanyo, Richard and Ahrens, Misha B and Allison, W Ted and Podgorski, Kaspar and Campbell, Robert E} } @article {65377, title = {High-throughput cellular-resolution synaptic connectivity mapping in vivo with concurrent two-photon optogenetics and volumetric Ca2+ imaging}, journal = {bioRxiv}, year = {2020}, month = {2020 Feb 25}, abstract = {

The ability to measure synaptic connectivity and properties is essential for understanding neuronal circuits. However, existing methods that allow such measurements at cellular resolution are laborious and technically demanding. Here, we describe a system that allows such measurements in a high-throughput way by combining two-photon optogenetics and volumetric Ca2+\ imaging with whole-cell recording. We reveal a circuit motif for generating fast undulatory locomotion in zebrafish.

}, doi = {https://doi.org/10.1101/2020.02.21.959650}, author = {McRaven, Christopher and Tanese, Dimitrii and Zhang, Lixia and Yang, Chao-Tsung and Ahrens, Misha B and Emiliani, Valentina and Koyama, Minoru} } @article {65634, title = {Precision Calcium Imaging of Dense Neural Populations via a Cell-Body-Targeted Calcium Indicator.}, journal = {Neuron}, volume = {107}, year = {2020}, month = {2020 Aug 01}, pages = {470}, abstract = {

Methods for one-photon fluorescent imaging of calcium dynamics can capture the activity of hundreds of neurons across large fields of view at a low equipment complexity and cost. In contrast to two-photon methods, however, one-photon methods suffer from higher levels of crosstalk from neuropil, resulting in a decreased signal-to-noise ratio and artifactual correlations of neural activity. We address this problem by engineering cell-body-targeted variants of the fluorescent calcium indicators GCaMP6f and GCaMP7f. We screened fusions of GCaMP to natural, as well as artificial, peptides and identified fusions that localized GCaMP to within 50\ μm of the cell body of neurons in mice and larval zebrafish. One-photon imaging of soma-targeted GCaMP in dense neural circuits reported fewer artifactual spikes from neuropil, an increased signal-to-noise ratio, and decreased artifactual correlation across neurons. Thus, soma-targeting of fluorescent calcium indicators facilitates usage of simple, powerful, one-photon methods for imaging neural calcium dynamics.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.05.029}, author = {Shemesh, Or A and Linghu, Changyang and Piatkevich, Kiryl D and Goodwin, Daniel and Celiker, Orhan Tunc and Gritton, Howard J and Romano, Michael F and Gao, Ruixuan and Yu, Chih-Chieh Jay and Tseng, Hua-An and Bensussen, Seth and Narayan, Sujatha and Yang, Chao-Tsung and Freifeld, Limor and Siciliano, Cody A and Gupta, Ishan and Wang, Joyce and Pak, Nikita and Yoon, Young-Gyu and Ullmann, Jeremy F P and Guner-Ataman, Burcu and Noamany, Habiba and Sheinkopf, Zoe R and Park, Won Min and Asano, Shoh and Keating, Amy E and Trimmer, James S and Reimer, Jacob and Tolias, Andreas S and Bear, Mark F and Tye, Kay M and Han, Xue and Ahrens, Misha B and Boyden, Edward S} } @article {65198, title = {A bidirectional network for appetite control in larval zebrafish.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Oct 18}, abstract = {

Medial and lateral hypothalamic loci are known to suppress and enhance appetite, respectively, but the dynamics and functional significance of their interaction have yet to be explored. Here we report that, in larval zebrafish, primarily serotonergic neurons of the ventromedial caudal hypothalamus (cH) become increasingly active during food deprivation, whereas activity in the lateral hypothalamus (LH) is reduced. Exposure to food sensory and consummatory cues reverses the activity patterns of these two nuclei, consistent with their representation of opposing internal hunger states. Baseline activity is restored as food-deprived animals return to satiety via voracious feeding. The antagonistic relationship and functional importance of cH and LH activity patterns were confirmed by targeted stimulation and ablation of cH neurons. Collectively, the data allow us to propose a model in which these hypothalamic nuclei regulate different phases of hunger and satiety and coordinate energy balance via antagonistic control of distinct behavioral outputs.

}, issn = {2050-084X}, doi = {10.7554/eLife.43775}, author = {Wee, Caroline Lei and Song, Erin Yue and Johnson, Robert Evan and Ailani, Deepak and Randlett, Owen and Kim, Ji-Yoon and Nikitchenko, Maxim and Bahl, Armin and Yang, Chao-Tsung and Ahrens, Misha B and Kawakami, Koichi and Engert, Florian and Kunes, Sam} } @article {65081, title = {Bright and photostable chemigenetic indicators for extended in vivo voltage imaging.}, journal = {Science}, volume = {365}, year = {2019}, month = {2019 Aug 13}, pages = {699-704}, abstract = {

Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great potential for monitoring neuronal activity with high spatial and temporal resolution. Brightness and photostability of fluorescent proteins and rhodopsins have limited the utility of existing GEVIs. We engineered a novel GEVI, "Voltron", that utilizes bright and photostable synthetic dyes instead of protein-based fluorophores, extending the combined duration of imaging and number of neurons imaged simultaneously by more than tenfold relative to existing GEVIs. We used Voltron for in vivo voltage imaging in mice, zebrafish, and fruit flies. In mouse cortex, Voltron allowed single-trial recording of spikes and subthreshold voltage signals from dozens of neurons simultaneously, over 15 min of continuous imaging. In larval zebrafish, Voltron enabled the precise correlation of spike timing with behavior.

}, issn = {1095-9203}, doi = {10.1126/science.aav6416}, author = {Abdelfattah, Ahmed S and Kawashima, Takashi and Singh, Amrita and Novak, Ondrej and Liu, Hui and Shuai, Yichun and Huang, Yi-Chieh and Campagnola, Luke and Seeman, Stephanie C and Yu, Jianing and Zheng, Jihong and Grimm, Jonathan B and Patel, Ronak and Friedrich, Johannes and Mensh, Brett D and Paninski, Liam and Macklin, John J and Murphy, Gabe J and Podgorski, Kaspar and Lin, Bei-Jung and Chen, Tsai-Wen and Turner, Glenn C and Liu, Zhe and Koyama, Minoru and Svoboda, Karel and Ahrens, Misha B and Lavis, Luke D and Schreiter, Eric R} } @article {65056, title = {A genetically encoded fluorescent sensor for in vivo imaging of GABA.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jul 15}, pages = {763-770}, abstract = {

Current techniques for monitoring GABA (γ-aminobutyric acid), the primary inhibitory neurotransmitter in vertebrates, cannot follow transients in intact neural circuits. To develop a GABA sensor, we applied the design principles used to create the fluorescent glutamate receptor iGluSnFR. We used a protein derived from a previously unsequenced Pseudomonas fluorescens strain and performed structure-guided mutagenesis and library screening to obtain intensity-based GABA sensing fluorescence reporter (iGABASnFR) variants. iGABASnFR is genetically encoded, detects GABA release evoked by electric stimulation of afferent fibers in acute brain slices and produces readily detectable fluorescence increases in vivo in mice and zebrafish. We applied iGABASnFR to track mitochondrial GABA content and its modulation by an anticonvulsant, swimming-evoked, GABA-mediated transmission in zebrafish cerebellum, GABA release events during interictal spikes and seizures in awake mice, and found that GABA-mediated tone decreases during isoflurane anesthesia.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0471-2}, author = {Marvin, Jonathan S and Shimoda, Yoshiteru and Magloire, Vincent and Leite, Marco and Kawashima, Takashi and Jensen, Thomas P and Kolb, Ilya and Knott, Erika L and Novak, Ondrej and Podgorski, Kaspar and Leidenheimer, Nancy J and Rusakov, Dmitri A and Ahrens, Misha B and Kullmann, Dimitri M and Looger, Loren L} } @article {65023, title = {Glia accumulate evidence that actions are futile and suppress unsuccessful behavior.}, journal = {Cell}, volume = {178}, year = {2019}, month = {2019 Jun 27}, pages = {27-43}, abstract = {

When a behavior repeatedly fails to achieve its goal, animals often give up and become passive, which can be strategic for preserving energy or regrouping between attempts. It is unknown how the brain identifies behavioral failures and mediates this behavioral-state switch. In larval zebrafish swimming in virtual reality, visual feedback can be withheld so that swim attempts fail to trigger expected visual flow. After tens of seconds of such motor futility, animals became passive for similar durations. Whole-brain calcium imaging revealed noradrenergic neurons that responded specifically to failed swim attempts and radial astrocytes whose calcium levels accumulated with increasing numbers of failed attempts. Using cell ablation and optogenetic or chemogenetic activation, we found that noradrenergic neurons progressively activated brainstem radial astrocytes, which then suppressed swimming. Thus, radial astrocytes perform a computation critical for behavior: they accumulate evidence that current actions are ineffective and consequently drive changes in behavioral states.

}, doi = {10.1016/j.cell.2019.05.050}, author = {Mu, Yu and Bennett, Davis V and Rubinov, Mikail and Narayan, Sujatha and Yang, Chao-Tsung and Tanimoto, Masashi and Mensh, Brett D and Looger, Loren L and Ahrens, Misha B} } @article {65213, title = {Zebrafish neuroscience: Using artificial neural networks to help understand brains.}, journal = {Current Biology}, volume = {29}, year = {2019}, month = {2019 Nov 04}, pages = {R1138-R1140}, abstract = {

Brains are notoriously hard to understand, and neuroscientists need all the tools they can get their hands on to have a realistic shot at it. Advances in machine learning are proving instrumental, illustrated by their recent use to shed light on navigational strategies implemented by zebrafish brains.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2019.09.039}, author = {Ahrens, Misha B} } @article {49535, title = {Brain-wide circuit interrogation at the cellular level guided by online analysis of neuronal function.}, journal = {Nature Methods}, volume = {15}, year = {2018}, month = {2018 Nov 30}, pages = {1117-1125}, abstract = {

Whole-brain imaging allows for comprehensive functional mapping of distributed neural pathways, but neuronal perturbation experiments are usually limited to targeting predefined regions or genetically identifiable cell types. To complement whole-brain measures of activity with brain-wide manipulations for testing causal interactions, we introduce a system that uses measuredactivity patterns to guide optical perturbations of any subset of neurons in the same fictively behaving larval zebrafish. First, a light-sheet microscope collects whole-brain data that are rapidly analyzed by a distributed computing system to generate functional brain maps. On the basis of these maps, the experimenter can then optically ablate neurons and image activity changes across the brain. We applied this method to characterize contributions of behaviorally tuned populations to the optomotor response. We extended the system to optogenetically stimulate arbitrary subsets of neurons during whole-brain imaging. These open-source methods enable delineating the contributions of neurons to brain-wide circuit dynamics and behavior in individual animals.

}, doi = {10.1038/s41592-018-0221-x}, author = {Vladimirov, Nikita and Wang, Chen and H{\"o}ckendorf, Burkhard and Pujala, Avinash and Tanimoto, Masashi and Mu, Yu and Yang, Chao-Tsung and Wittenbach, Jason and Freeman, Jeremy and Preibisch, Stephan and Koyama, Minoru and Keller, Philipp J and Ahrens, Misha B} } @article {49520, title = {Brain-wide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish.}, journal = {Neuron}, volume = {100}, year = {2018}, month = {2018 Nov 21}, pages = {876-890.e5}, abstract = {

Simultaneous recordings of large populations of neurons in behaving animals allow detailed observation of high-dimensional, complex brain activity. However, experimental approaches often focus on singular behavioral paradigms or brain areas. Here, we recorded whole-brain neuronal activity of larval zebrafish presented with a battery of visual stimuli while recording fictive motor output. We identified neurons tuned to each stimulus type and motor output and discovered groups of neurons in the anterior hindbrain that respond to different stimuli eliciting similar behavioral responses. These convergent sensorimotor representations were only weakly correlated to instantaneous motor activity, suggesting that they critically inform, but do not directly generate, behavioral choices. To catalog brain-wide activity beyond explicit sensorimotor processing, we developed an unsupervised clustering technique that organizes neurons into functional groups. These analyses enabled a broad overview of the functional organization of the brain and revealed numerous brain nuclei whose neurons exhibit concerted activity patterns.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2018.09.042}, author = {Chen, Xiuye and Mu, Yu and Hu, Yu and Kuan, Aaron T and Nikitchenko, Maxim and Randlett, Owen and Chen, Alex B and Gavornik, Jeffery P and Sompolinsky, Haim and Engert, Florian and Ahrens, Misha B} } @article {49059, title = {Integrative whole-brain neuroscience in larval zebrafish.}, journal = {Current Opinion in Neurobiology}, volume = {50}, year = {2018}, month = {2018 Feb 24}, pages = {136-145}, abstract = {

Due to their small size and transparency, zebrafish larvae are amenable to a range of fluorescence microscopy techniques. With the development of sensitive genetically encoded calcium indicators, this has extended to the whole-brain imaging of neural activity with cellular resolution. This technique has been used to study brain-wide population dynamics accompanying sensory processing and sensorimotor transformations, and has spurred the development of innovative closed-loop behavioral paradigms in which stimulus-response relationships can be studied. More recently, microscopes have been developed that allow whole-brain calcium imaging in freely swimming and behaving larvae. In this review, we highlight the technologies underlying whole-brain functional imaging in zebrafish, provide examples of the sensory and motor processes that have been studied with this technique, and discuss the need to merge data from whole-brain functional imaging studies with neurochemical and anatomical information to develop holistic models of functional neural circuits.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2018.02.004}, author = {Vanwalleghem, Gilles C and Ahrens, Misha B and Scott, Ethan K} } @article {49060, title = {A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.}, journal = {Nature Chemical Biology}, year = {2018}, month = {2018 Feb 26}, abstract = {

We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing proteins that simultaneously exhibit several specific properties, we can screen hundreds of thousands of proteins in a library in just a few hours, evaluating each along multiple performance axes. To demonstrate the power of this approach, we created\ a genetically encoded fluorescent voltage indicator, simultaneously optimizing its\ brightness and membrane localization using our microscopy-guided cell-picking strategy. We produced the high-performance opsin-based fluorescent voltage reporter Archon1 and demonstrated its utility by imaging spiking and millivolt-scale subthreshold and synaptic activity in acute mouse brain slices and in larval zebrafish in vivo. We also measured postsynaptic responses downstream of optogenetically controlled neurons in C. elegans.

}, issn = {1552-4469}, doi = {10.1038/s41589-018-0004-9}, author = {Piatkevich, Kiryl D and Jung, Erica E and Straub, Christoph and Linghu, Changyang and Park, Demian and Suk, Ho-Jun and Hochbaum, Daniel R and Goodwin, Daniel and Pnevmatikakis, Eftychios and Pak, Nikita and Kawashima, Takashi and Yang, Chao-Tsung and Jeff L Rhoades and Shemesh, Or and Asano, Shoh and Yoon, Young-Gyu and Freifeld, Limor and Saulnier, Jessica L and Riegler, Clemens and Engert, Florian and Hughes, Thom and Drobizhev, Mikhail and Szabo, Balint and Ahrens, Misha B and Flavell, Steven W and Sabatini, Bernardo L and Boyden, Edward S} } @article {48716, title = {Multi-scale approaches for high-speed imaging and analysis of large neural populations.}, journal = {PLoS Computational Biology}, volume = {13}, year = {2017}, month = {2017 Aug 03}, pages = {e1005685}, abstract = {

Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noise, and field of view: with current recording technology we cannot image very large neuronal populations with simultaneously high spatial and temporal resolution. Here we describe multi-scale approaches for alleviating both of these bottlenecks. First, we show that spatial and temporal decimation techniques based on simple local averaging provide order-of-magnitude speedups in spatiotemporally demixing calcium video data into estimates of single-cell neural activity. Second, once the shapes of individual neurons have been identified at fine scale (e.g., after an initial phase of conventional imaging with standard temporal and spatial resolution), we find that the spatial/temporal resolution tradeoff shifts dramatically: after demixing we can accurately recover denoised fluorescence traces and deconvolved neural activity of each individual neuron from coarse scale data that has been spatially decimated by an order of magnitude. This offers a cheap method for compressing this large video data, and also implies that it is possible to either speed up imaging significantly, or to "zoom out" by a corresponding factor to image order-of-magnitude larger neuronal populations with minimal loss in accuracy or temporal resolution.

}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1005685}, author = {Friedrich, Johannes and Yang, Weijian and Soudry, Daniel and Mu, Yu and Ahrens, Misha B and Yuste, Rafael and Peterka, Darcy S and Paninski, Liam} } @article {47299, title = {Calcium imaging of neural circuits with extended depth-of-field light-sheet microscopy.}, journal = {Optics Letters}, volume = {41}, year = {2016}, month = {2016 Feb 17}, pages = {855-8}, abstract = {

Increasing the volumetric imaging speed of light-sheet microscopy will improve its ability to detect fast changes in neural activity. Here, a system is introduced for brain-wide imaging of neural activity in the larval zebrafish by coupling structured illumination with cubic phase extended depth-of-field (EDoF) pupil encoding. This microscope enables faster light-sheet imaging and facilitates arbitrary plane scanning{\textemdash}removing constraints on acquisition speed, alignment tolerances, and physical motion near the sample. The usefulness of this method is demonstrated by performing multi-plane calcium imaging in the fish brain with a\ 416{\texttimes}832{\texttimes}160 μm\ field of view at 33\ Hz. The optomotor response behavior of the zebrafish is monitored at high speeds, and time-locked correlations of neuronal activity are resolved across its brain.

}, doi = {10.1364/OL.41.000855}, author = {Quirin, Sean and Vladimirov, Nikita and Yang, Chao-Tsung and Peterka, Darcy S and Yuste, Rafael and Ahrens, Misha B} } @article {47283, title = {Neural circuits underlying visually evoked escapes in larval zebrafish.}, journal = {Neuron}, volume = {89}, year = {2016}, month = {2016 Feb 3}, pages = {613-628}, abstract = {

Escape behaviors deliver organisms away from imminent catastrophe. Here, we characterize behavioral responses of freely swimming larval zebrafish to\ looming visual stimuli simulating predators. We report that the visual system alone can recruit lateralized, rapid escape motor programs, similar to those elicited by mechanosensory modalities. Two-photon calcium imaging of retino-recipient midbrain regions isolated the optic tectum as an important center processing looming stimuli, with ensemble activity encoding the critical image size determining escape latency. Furthermore, we describe activity in retinal ganglion cell terminals and superficial inhibitory interneurons in the tectum during looming and propose a model for how temporal dynamics in tectal\ periventricular neurons might arise from computations between these two fundamental constituents. Finally, laser ablations of hindbrain circuitry confirmed that visual and mechanosensory modalities share the same premotor output network. We\ establish a circuit for the processing of aversive stimuli in the context of an innate visual behavior.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.12.021}, author = {Dunn, Timothy W and Gebhardt, Christoph and Naumann, Eva A and Riegler, Clemens and Ahrens, Misha B and Engert, Florian and Del Bene, Filippo} } @article {47731, title = {A practical guide to light sheet microscopy.}, journal = {Methods in Molecular Biology (Clifton, N.J.)}, volume = {1451}, year = {2016}, month = {2016}, pages = {321-31}, abstract = {

Light sheet fluorescence microscopy is an efficient method for imaging large volumes of biological tissue, including brains of larval zebrafish, at high spatial and fairly high temporal resolution with minimal phototoxicity.Here, we provide a practical guide for those who intend to build a light sheet microscope for fluorescence imaging in live larval zebrafish brains or other tissues.

}, issn = {1940-6029}, doi = {10.1007/978-1-4939-3771-4_22}, author = {Bennett, Davis V and Ahrens, Misha B} } @article {47396, title = {Sensitive red protein calcium indicators for imaging neural activity.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Mar 24}, abstract = {

Genetically encoded calcium indicators (GECIs) allow measurement of activity in large populations of neurons and in small neuronal compartments, over times of milliseconds to months. Although GFP-based GECIs are widely used for in vivo neurophysiology, GECIs with red-shifted excitation and emission spectra have advantages for in vivo imaging because of reduced scattering and absorption in tissue, and a consequent reduction in phototoxicity. However, current red GECIs are inferior to the state-of-the-art GFP-based GCaMP6 indicators for detecting and quantifying neural activity. Here we present improved red GECIs based on mRuby (jRCaMP1a, b) and mApple (jRGECO1a), with sensitivity comparable to GCaMP6. We characterized the performance of the new red GECIs in cultured neurons and in mouse, Drosophila, zebrafish and C. elegans in vivo. Red GECIs facilitate deep-tissue imaging, dual-color imaging together with GFP-based reporters, and the use of optogenetics in combination with calcium imaging.

}, issn = {2050-084X}, doi = {10.7554/eLife.12727}, author = {Dana, Hod and Mohar, Boaz and Sun, Yi and Narayan, Sujatha and Gordus, Andrew and Hasseman, Jeremy P and Tsegaye, Getahun and Holt, Graham T and Hu, Amy and Walpita, Deepika and Patel, Ronak and Macklin, John J and Bargmann, Cornelia I and Ahrens, Misha B and Schreiter, Eric R and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S} } @article {47991, title = {The serotonergic system tracks the outcomes of actions to mediate short-term motor learning.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 Oct 27}, pages = {933-46}, abstract = {

To execute accurate movements, animals must continuously adapt their behavior to changes in their\ bodies and environments. Animals can learn changes in the relationship between their locomotor commands and the resulting distance moved, then adjust command strength to achieve a desired travel distance. It is largely unknown which circuits implement this form of motor learning, or how. Using whole-brain neuronal imaging and circuit manipulations in larval zebrafish, we discovered that the serotonergic dorsal raphe nucleus (DRN) mediates short-term locomotor learning. Serotonergic DRN neurons respond phasically to swim-induced visual motion, but little to motion that is not self-generated. During prolonged exposure to a given motosensory gain, persistent DRN activity emerges that stores the learned efficacy of motor commands and adapts future locomotor drive for tens of seconds. The DRN{\textquoteright}s ability to track the effectiveness of motor intent may constitute a computational building block\ for the broader functions of the serotonergic system.

}, doi = {10.1016/j.cell.2016.09.055}, author = {Kawashima, Takashi and Zwart, Maarten F and Yang, Chao-Tsung and Mensh, Brett D and Ahrens, Misha B} } @article {46368, title = {Labeling of active neural circuits in vivo with designed calcium integrators.}, journal = {Science}, volume = {347}, year = {2015}, month = {2015 Feb 13}, pages = {755-60}, abstract = {

The identification of active neurons and circuits in vivo is a fundamental challenge in understanding the neural basis of behavior. Genetically encoded calcium (Ca(2+)) indicators (GECIs) enable quantitative monitoring of cellular-resolution activity during behavior. However, such indicators require online monitoring within a limited field of view. Alternatively, post hoc staining of immediate early genes (IEGs) indicates highly active cells within the entire brain, albeit with poor temporal resolution. We designed a fluorescent sensor, CaMPARI, that combines the genetic targetability and quantitative link to neural activity of GECIs with the permanent, large-scale labeling of IEGs, allowing a temporally precise "activity snapshot" of a large tissue volume. CaMPARI undergoes efficient and irreversible green-to-red conversion only when elevated intracellular Ca(2+) and experimenter-controlled illumination coincide. We demonstrate the utility of CaMPARI in freely moving larvae of zebrafish and flies, and in head-fixed mice and adult flies.

}, issn = {1095-9203}, doi = {10.1126/science.1260922}, author = {Fosque, Benjamin F and Sun, Yi and Dana, Hod and Yang, Chao-Tsung and Ohyama, Tomoko and Tadross, Michael R and Patel, Ronak and Zlatic, Marta and Kim, Douglas S and Ahrens, Misha B and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R} } @article {46532, title = {Large-scale imaging in small brains.}, journal = {Current Opinion in Neurobiology}, volume = {32C}, year = {2015}, month = {2015 Jun 1}, pages = {78-86}, abstract = {

The dense connectivity in the brain means that one neuron{\textquoteright}s activity can influence many others. To observe this interconnected system comprehensively, an aspiration within neuroscience is to record from as many neurons as possible at the same time. There are two useful routes toward this goal: one is to expand the spatial extent of functional imaging techniques, and the second is to use animals with small brains. Here we review recent progress toward imaging many neurons and complete populations of identified neurons in small vertebrates and invertebrates.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2015.01.007}, author = {Ahrens, Misha B and Engert, Florian} } @article {46020, title = {Visualizing whole-brain activity and development at the single-cell level using light-sheet microscopy.}, journal = {Neuron}, volume = {85}, year = {2015}, month = {2015 Feb 4}, pages = {462-83}, abstract = {

The nature of nervous system function and development is inherently global, since all components eventually influence one another. Networks communicate through dense synaptic, electric, and modulatory connections and develop through concurrent growth and interlinking of their neurons, processes, glia, and blood vessels. These factors drive the development of techniques capable of imaging neural signaling, anatomy, and developmental processes at ever-larger scales. Here, we discuss the nature of questions benefitting from large-scale imaging techniques and introduce recent applications. We focus on emerging light-sheet microscopy approaches, which are well suited for live imaging of large systems with high spatiotemporal resolution and over long periods of time. We also discuss computational methods suitable for extracting biological information from the resulting system-level image data sets. Together with new tools for reporting and manipulating neuronal activity and gene expression, these techniques promise new insights into the large-scale function and development of neural systems.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2014.12.039}, author = {Keller, Philipp J and Ahrens, Misha B} } @article {45177, title = {Light-sheet functional imaging in fictively behaving zebrafish.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Jul 27}, pages = {883-4}, abstract = {

The processing of sensory input and the generation of behavior involves large networks of neurons, which necessitates new technology for recording from many neurons in behaving animals. In the larval zebrafish, light-sheet microscopy can be used to record the activity of almost all neurons in the brain simultaneously at single-cell resolution. Existing implementations, however, cannot be combined with visually driven behavior because the light sheet scans over the eye, interfering with presentation of controlled visual stimuli. Here we describe a system that overcomes the confounding eye stimulation through the use of two light sheets and combines whole-brain light-sheet imaging with virtual reality for fictively behaving larval zebrafish.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3040}, author = {Vladimirov, Nikita and Mu, Yu and Kawashima, Takashi and Bennett, Davis V and Yang, Chao-Tsung and Looger, Loren L and Keller, Philipp J and Freeman, Jeremy and Ahrens, Misha B} } @article {45868, title = {Light-sheet imaging for systems neuroscience.}, journal = {Nature Methods}, volume = {12}, year = {2014}, month = {2014 Dec 30}, pages = {27-9}, abstract = {

Developments in electrical and optical recording technology are scaling up the size of neuronal populations that can be monitored simultaneously. Light-sheet imaging is rapidly gaining traction as a method for optically interrogating activity in large networks and presents both opportunities and challenges for understanding circuit function.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3214}, author = {Keller, Philipp J and Ahrens, Misha B and Freeman, Jeremy} } @article {5840, title = {Identification of nonvisual photomotor response cells in the vertebrate hindbrain.}, journal = {The Journal of Neuroscience}, volume = {33}, year = {2013}, month = {2013 Feb 27}, pages = {3834-43}, abstract = {

Nonvisual photosensation enables animals to sense light without sight. However, the cellular and molecular mechanisms of nonvisual photobehaviors are poorly understood, especially in vertebrate animals. Here, we describe the photomotor response (PMR), a robust and reproducible series of motor behaviors in zebrafish that is elicited by visual wavelengths of light but does not require the eyes, pineal gland, or other canonical deep-brain photoreceptive organs. Unlike the relatively slow effects of canonical nonvisual pathways, motor circuits are strongly and quickly (seconds) recruited during the PMR behavior. We find that the hindbrain is both necessary and sufficient to drive these behaviors. Using in vivo calcium imaging, we identify a discrete set of neurons within the hindbrain whose responses to light mirror the PMR behavior. Pharmacological inhibition of the visual cycle blocks PMR behaviors, suggesting that opsin-based photoreceptors control this behavior. These data represent the first known light-sensing circuit in the vertebrate hindbrain.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3689-12.2013}, author = {Kokel, David and Dunn, Timothy W. and Ahrens, Misha B and Alshut, R{\"u}diger and Cheung, Chung Yan J. and Saint-Amant, Louis and Bruni, Giancarlo and Mateus, Rita and van Ham, Tjakko J. and Shiraki, Tomoya and Fukada, Yoshitaka and Kojima, Daisuke and Yeh, Jing-Ruey J. and Mikut, Ralf and von Lintig, Johannes and Engert, Florian and Peters, Randall T.} } @article {5677, title = {Optogenetics in a transparent animal: circuit function in the larval zebrafish.}, journal = {Current Opinion in Neurobiology}, volume = {23}, year = {2013}, month = {2013 Feb}, pages = {119-26}, abstract = {

Optogenetic tools can be used to manipulate neuronal activity in a reversible and specific manner. In recent years, such methods have been applied to uncover causal relationships between activity in specified neuronal circuits and behavior in the larval zebrafish. In this small, transparent, genetic model organism, noninvasive manipulation and monitoring of neuronal activity with light is possible throughout the nervous system. Here we review recent work in which these new tools have been applied to zebrafish, and discuss some of the existing challenges of these approaches.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2012.11.001}, author = {Portugues, Ruben and Severi, Kristen E and Wyart, Claire and Ahrens, Misha B} } @article {6222, title = {Spinal projection neurons control turning behaviors in zebrafish.}, journal = {Current Biology}, volume = {23}, year = {2013}, month = {2013 Aug 19}, pages = {1566-73}, abstract = {

Discrete populations of brainstem spinal projection neurons (SPNs) have been shown to exhibit behavior-specific responses during locomotion [1-9], suggesting that separate descending pathways, each dedicated to a specific behavior, control locomotion. In an alternative model, a large variety of motor outputs could be generated from different combinations of a small number of basic motor pathways. We examined this possibility by studying the precise role of ventromedially located hindbrain SPNs (vSPNs) in generating turning behaviors. We found that unilateral laser ablation of vSPNs reduces the tail deflection and cycle period specifically during the first undulation cycle of a swim bout, whereas later tail movements are unaffected. This holds true during phototaxic [10], optomotor [11], dark-flash-induced [12], and spontaneous turns [13], suggesting a universal role of these neurons in controlling turning behaviors. Importantly, we found that the ablation not only abolishes turns but also results in a dramatic increase in the number of forward swims, suggesting that these neurons transform forward swims into turns by introducing turning kinematics into a basic motor pattern of symmetric tail undulations. Finally, we show that vSPN activity is direction specific and graded by turning angle. Together, these results provide a clear example of how a specific motor pattern can be transformed into different behavioral events by the graded activation of a small set of SPNs.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2013.06.044}, author = {Huang, Kuo-Hua and Ahrens, Misha B and Dunn, Timothy W. and Engert, Florian} } @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 {5671, title = {Brain-wide neuronal dynamics during motor adaptation in zebrafish.}, journal = {Nature}, volume = {485}, year = {2012}, month = {2012 May 24}, pages = {471-7}, abstract = {

A fundamental question in neuroscience is how entire neural circuits generate behaviour and adapt it to changes in sensory feedback. Here we use two-photon calcium imaging to record the activity of large populations of neurons at the cellular level, throughout the brain of larval zebrafish expressing a genetically encoded calcium sensor, while the paralysed animals interact fictively with a virtual environment and rapidly adapt their motor output to changes in visual feedback. We decompose the network dynamics involved in adaptive locomotion into four types of neuronal response properties, and provide anatomical maps of the corresponding sites. A subset of these signals occurred during behavioural adjustments and are candidates for the functional elements that drive motor learning. Lesions to the inferior olive indicate a specific functional role for olivocerebellar circuitry in adaptive locomotion. This study enables the analysis of brain-wide dynamics at single-cell resolution during behaviour.

}, keywords = {Adaptation, Animals, Brain, Genetically Modified, Larva, Learning, Locomotion, Models, Nerve Net, Neurological, Neurons, Neuropil, Photic Stimulation, Physiological, Psychomotor Performance, Single-Cell Analysis, Zebrafish}, issn = {1476-4687}, doi = {10.1038/nature11057}, author = {Ahrens, Misha B and Li, Jennifer M and Orger, Michael B. and Robson, Drew N and Schier, Alexander F and Engert, Florian and Portugues, Ruben} } @article {5672, title = {Observers exploit stochastic models of sensory change to help judge the passage of time.}, journal = {Current Biology}, volume = {21}, year = {2011}, month = {2011 Feb 8}, pages = {200-6}, abstract = {

Sensory stimulation can systematically bias the perceived passage of time, but why and how this happens is mysterious. In this report, we provide evidence that such biases may ultimately derive from an innate and adaptive use of stochastically evolving dynamic stimuli to help refine estimates derived from internal timekeeping mechanisms. A simplified statistical model based on probabilistic expectations of stimulus change derived from the second-order temporal statistics of the natural environment makes three predictions. First, random noise-like stimuli whose statistics violate natural expectations should induce timing bias. Second, a previously unexplored obverse of this effect is that similar noise stimuli with natural statistics should reduce the variability of timing estimates. Finally, this reduction in variability should scale with the interval being timed, so as to preserve the overall Weber law of interval timing. All three predictions are borne out experimentally. Thus, in the context of our novel theoretical framework, these results suggest that observers routinely rely on sensory input to augment their sense of the passage of time, through a process of Bayesian inference based on expectations of change in the natural environment.

}, keywords = {Biological, Humans, Models, Photic Stimulation, Stochastic Processes, Time Perception}, issn = {1879-0445}, doi = {10.1016/j.cub.2010.12.043}, author = {Ahrens, Misha B and Sahani, Maneesh} } @article {5673, title = {Inferring input nonlinearities in neural encoding models.}, journal = {Network}, volume = {19}, year = {2008}, month = {2008}, pages = {35-67}, abstract = {

We describe a class of models that predict how the instantaneous firing rate of a neuron depends on a dynamic stimulus. The models utilize a learnt pointwise nonlinear transform of the stimulus, followed by a linear filter that acts on the sequence of transformed inputs. In one case, the nonlinear transform is the same at all filter lag-times. Thus, this "input nonlinearity" converts the initial numerical representation of stimulus value to a new representation that provides optimal input to the subsequent linear model. We describe algorithms that estimate both the input nonlinearity and the linear weights simultaneously; and present techniques to regularise and quantify uncertainty in the estimates. In a second approach, the model is generalized to allow a different nonlinear transform of the stimulus value at each lag-time. Although more general, this model is algorithmically more straightforward to fit. However, it has many more degrees of freedom than the first approach, thus requiring more data for accurate estimation. We test the feasibility of these methods on synthetic data, and on responses from a neuron in rodent barrel cortex. The models are shown to predict responses to novel data accurately, and to recover several important neuronal response properties.

}, keywords = {Models, Neural Networks (Computer), Neurological, Neurons, Nonlinear Dynamics}, issn = {1361-6536}, doi = {10.1080/09548980701813936}, author = {Ahrens, Misha B and Paninski, Liam and Sahani, Maneesh} } @article {5505, title = {Nonlinearities and contextual influences in auditory cortical responses modeled with multilinear spectrotemporal methods.}, journal = {The Journal of Neuroscience}, volume = {28}, year = {2008}, month = {2008 Feb 20}, pages = {1929-42}, abstract = {

The relationship between a sound and its neural representation in the auditory cortex remains elusive. Simple measures such as the frequency response area or frequency tuning curve provide little insight into the function of the auditory cortex in complex sound environments. Spectrotemporal receptive field (STRF) models, despite their descriptive potential, perform poorly when used to predict auditory cortical responses, showing that nonlinear features of cortical response functions, which are not captured by STRFs, are functionally important. We introduce a new approach to the description of auditory cortical responses, using multilinear modeling methods. These descriptions simultaneously account for several nonlinearities in the stimulus-response functions of auditory cortical neurons, including adaptation, spectral interactions, and nonlinear sensitivity to sound level. The models reveal multiple inseparabilities in cortical processing of time lag, frequency, and sound level, and suggest functional mechanisms by which auditory cortical neurons are sensitive to stimulus context. By explicitly modeling these contextual influences, the models are able to predict auditory cortical responses more accurately than are STRF models. In addition, they can explain some forms of stimulus dependence in STRFs that were previously poorly understood.

}, keywords = {Acoustic Stimulation, Animals, Auditory Cortex, Biological, Mice, Models, Nonlinear Dynamics, Rats, Time Factors}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3377-07.2008}, author = {Ahrens, Misha B and Linden, Jennifer F and Sahani, Maneesh} } @article {5530, title = {Efficient estimation of detailed single-neuron models.}, journal = {Journal of Neurophysiology}, volume = {96}, year = {2006}, month = {2006 Aug}, pages = {872-90}, abstract = {

Biophysically accurate multicompartmental models of individual neurons have significantly advanced our understanding of the input-output function of single cells. These models depend on a large number of parameters that are difficult to estimate. In practice, they are often hand-tuned to match measured physiological behaviors, thus raising questions of identifiability and interpretability. We propose a statistical approach to the automatic estimation of various biologically relevant parameters, including 1) the distribution of channel densities, 2) the spatiotemporal pattern of synaptic input, and 3) axial resistances across extended dendrites. Recent experimental advances, notably in voltage-sensitive imaging, motivate us to assume access to: i) the spatiotemporal voltage signal in the dendrite and ii) an approximate description of the channel kinetics of interest. We show here that, given i and ii, parameters 1-3 can be inferred simultaneously by nonnegative linear regression; that this optimization problem possesses a unique solution and is guaranteed to converge despite the large number of parameters and their complex nonlinear interaction; and that standard optimization algorithms efficiently reach this optimum with modest computational and data requirements. We demonstrate that the method leads to accurate estimations on a wide variety of challenging model data sets that include up to about 10(4) parameters (roughly two orders of magnitude more than previously feasible) and describe how the method gives insights into the functional interaction of groups of channels.

}, keywords = {Algorithms, Biophysical Phenomena, Biophysics, Cell Membrane, Data Interpretation, Dendrites, Electrophysiology, Ion Channel Gating, Ion Channels, Kinetics, Ligands, Likelihood Functions, Models, Monte Carlo Method, N-Methyl-D-Aspartate, Neurological, Neurons, Patch-Clamp Techniques, Receptors, Statistical, Synapses}, issn = {0022-3077}, author = {Huys, Quentin J M and Ahrens, Misha B and Paninski, Liam} }