@article {69774, title = {Neuropixels Opto: Combining high-resolution electrophysiology and optogenetics}, journal = {bioRxiv}, year = {2025}, month = {2025 Feb 06}, abstract = {

High-resolution extracellular electrophysiology is the gold standard for recording spikes from distributed neural populations, and is especially powerful when combined with optogenetics for manipulation of specific cell types with high temporal resolution. We integrated these approaches into prototype Neuropixels Opto probes, which combine electronic and photonic circuits. These devices pack 960 electrical recording sites and two sets of 14 light emitters onto a 1 cm shank, allowing spatially addressable optogenetic stimulation with blue and red light. In mouse cortex, Neuropixels Opto probes delivered high-quality recordings together with spatially addressable optogenetics, differentially activating or silencing neurons at distinct cortical depths. In mouse striatum and other deep structures, Neuropixels Opto probes delivered efficient optotagging, facilitating the identification of two cell types in parallel. Neuropixels Opto probes represent an unprecedented tool for recording, identifying, and manipulating neuronal populations.

}, doi = {10.1101/2025.02.04.636286}, url = {https://www.biorxiv.org/content/early/2025/02/06/2025.02.04.636286}, author = {Lakunina, Anna and Socha, Karolina Z and Ladd, Alexander and Bowen, Anna J and Chen, Susu and Colonell, Jennifer and Doshi, Anjal and Karsh, Bill and Krumin, Michael and Kulik, Pavel and Li, Anna and Neutens, Pieter and O{\textquoteright}Callaghan, John and Olsen, Meghan and Putzeys, Jan and Tilmans, Harrie AC and Ye, Zhiwen and Welkenhuysen, Marleen and H{\"a}usser, Michael and Koch, Christof and Ting, Jonathan T. and Neuropixels Opto Consortium and Dutta, Barun and Harris, Timothy D and Steinmetz, Nicholas A and Svoboda, Karel and Siegle, Joshua H and Carandini, Matteo} } @article {70004, title = {SLAy-ing oversplitting errors in high-density electrophysiology spike sorting}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 25}, abstract = {

The growing channel count of silicon probes has substantially increased the number of neurons recorded in electrophysiology (ephys) experiments, rendering traditional manual spike sorting impractical. Instead, modern ephys recordings are processed with automated methods that use waveform template matching to isolate putative single neurons. While scalable, automated methods are subject to assumptions that often fail to account for biophysical changes in action potential waveforms, leading to systematic errors. Consequently, manual curation of these errors, which is both time-consuming and lacks reproducibility, remains necessary. To improve efficiency and reproducibility in the spike-sorting pipeline, we introduce here the Spike-sorting Lapse Amelioration System (SLAy), an algorithm that automatically merges oversplit spike clusters. SLAy employs two novel metrics: (1) a waveform similarity metric that uses a neural network to obtain spatially informed, time-shift invariant low-dimensional waveform representations, and (2) a cross-correlogram significance metric based on the earth-movers distance between the observed and null cross-correlograms. We demonstrate that SLAy achieves 85\% agreement with human curators across a diverse set of animal models, brain regions, and probe geometries. To illustrate the impact of spike sorting errors on downstream analyses, we develop a new burst-detection algorithm and show that SLAy fixes spike sorting errors that preclude the accurate detection of bursts in neural data. SLAy leverages GPU parallelization and multithreading for computational efficiency, and is compatible with Phy and NeuroData Without Borders, making it a practical and flexible solution for large-scale ephys data analysis.

}, doi = {10.1101/2025.06.20.660590}, url = {https://www.biorxiv.org/content/early/2025/06/25/2025.06.20.660590}, author = {Koukuntla, Sai and DeWeese, Tate and Cheng, Alexandra and Mildren, Robyn and Lawrence, Aamna and Graves, Austin R and Colonell, Jennifer and Harris, Timothy D and Charles, Adam S} } @article {70005, title = {Sleep need-dependent plasticity of a thalamic circuit promotes homeostatic recovery sleep.}, journal = {Science}, volume = {388}, year = {2025}, month = {2025 Jun 19}, pages = {eadm8203}, abstract = {

Prolonged wakefulness leads to persistent, deep recovery sleep (RS). However, the neuronal circuits that mediate this process remain elusive. From a circuit screen in mice, we identified a group of thalamic nucleus reuniens (RE) neurons activated during sleep deprivation (SD) and required for sleep homeostasis. Optogenetic activation of RE neurons leads to an unusual phenotype: presleep behaviors (grooming and nest organizing) followed by prolonged, intense sleep that resembles RS. Inhibiting RE activity during SD impairs subsequent RS, which suggests that these neurons signal sleep need. RE neurons act upstream of sleep-promoting zona incerta cells, and SD triggers plasticity of this circuit to strengthen their connectivity. These findings reveal a circuit mechanism by which sleep need transforms the functional coupling of a sleep circuit to promote persistent, deep sleep.

}, keywords = {Animals, Homeostasis, Male, Mice, Mice, Inbred C57BL, Midline Thalamic Nuclei, Neuronal Plasticity, Neurons, Optogenetics, Sleep Deprivation, Sleep, Slow-Wave, Wakefulness}, issn = {1095-9203}, doi = {10.1126/science.adm8203}, url = {https://doi.org/10.1126/science.adm8203}, author = {Lee, Sang Soo and Liu, Qiang and Cheng, Alexandra H R and Kim, Dong Won and Boudreau, Daphne M and Mehta, Anuradha and Keles, Mehmet F and Fejfer, Rafal and Palmer, Isabelle and Park, Kristen H and M{\"u}nzberg, Heike and Harris, Timothy D and Graves, Austin R and Blackshaw, Seth and Wu, Mark N} } @article {70133, title = {Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.}, journal = {Neuron}, volume = {113}, year = {2025}, month = {2025 Dec 3}, abstract = {

To understand the neural basis of behavior, it is essential to sensitively and accurately measure neural activity at single-neuron and single-spike resolution. Extracellular electrophysiology delivers this, but it has biases in the neurons it detects and it imperfectly resolves their action potentials. To minimize these limitations, we developed a silicon probe with much smaller and denser recording sites than previous designs, called Neuropixels Ultra (NP Ultra). Using NP Ultra, neuronal yield in mouse visual cortex recordings increased by more than 2-fold. With ultra-high spatial resolution, we discovered that a feature of extracellular waveforms, the spatial extent or "footprint," distinguished axonal from somatic recordings. In addition, three genetically identified cortical cell types could be discriminated from one another with \~{}80\% accuracy and from other neurons with \~{}85\% accuracy. NP Ultra improves yield, detection of subcellular compartments, and cell type identification to enable a more powerful dissection of neural circuit activity during behavior.

bioRxiv preprint: doi.org/10.1101/2023.08.23.554527

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2025.08.030}, url = {https://doi.org/10.1016/j.neuron.2025.08.030}, author = {Ye, Zhiwen and Shelton, Andrew M and Shaker, Jordan R and Boussard, Julien and Colonell, Jennifer and Birman, Daniel and Manavi, Sahar and Chen, Susu and Windolf, Charlie and Hurwitz, Cole and Yu, Han and Namima, Tomoyuki and Pedraja, Federico and Weiss, Shahaf and Raducanu, Bogdan C and Ness, Torbj{\o}rn V and Jia, Xiaoxuan and Mastroberardino, Giulia and Rossi, L Federico and Carandini, Matteo and H{\"a}usser, Michael and Einevoll, Gaute T and Laurent, Gilles and Sawtell, Nathaniel B and Bair, Wyeth and Pasupathy, Anitha and Mora Lopez, Carolina and Dutta, Barundeb and Paninski, Liam and Siegle, Joshua H and Koch, Christof and Olsen, Shawn R and Harris, Timothy D and Steinmetz, Nicholas A} } @article {68968, title = {Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings.}, journal = {bioRxiv}, year = {2023}, month = {2023 Aug 25}, abstract = {

To study the neural basis of behavior, we require methods to sensitively and accurately measure neural activity at single neuron and single spike resolution. Extracellular electrophysiology is a principal method for achieving this, but it has biases in the neurons it detects and it imperfectly resolves their action potentials. To overcome these limitations, we developed a silicon probe with significantly smaller and denser recording sites than previous designs, called Neuropixels Ultra (NP Ultra). This device measures neuronal activity at ultra-high densities (\>1300 sites per mm, 10 times higher than previous probes), with 6 {\textmu}m center-to-center spacing and low noise. This device effectively comprises an implantable voltage-sensing camera that captures a planar image of a neuron{\textquoteright}s electrical field. We introduce a new spike sorting algorithm optimized for these probes and use it to find that the yield of visually-responsive neurons in recordings from mouse visual cortex improves \~{}3-fold. Recordings across multiple brain regions and four species revealed a subset of unexpectedly small extracellular action potentials not previously reported. Further experiments determined that, in visual cortex, these do not correspond to major subclasses of interneurons and instead likely reflect recordings from axons. Finally, using ground-truth identification of cortical inhibitory cell types with optotagging, we found that cell type was discriminable with approximately 75\% success among three types, a significant improvement over lower-resolution recordings. NP Ultra improves spike sorting performance, sampling bias, and cell type classification.

}, doi = {10.1101/2023.08.23.554527}, author = {Ye, Zhiwen and Shelton, Andrew M and Shaker, Jordan R and Boussard, Julien and Colonell, Jennifer and Manavi, Sahar and Chen, Susu and Windolf, Charlie and Hurwitz, Cole and Namima, Tomoyuki and Pedraja, Federico and Weiss, Shahaf and Raducanu, Bogdan and Ness, Torbj{\o}rn V and Einevoll, Gaute T and Laurent, Gilles and Sawtell, Nathaniel B and Bair, Wyeth and Pasupathy, Anitha and Mora Lopez, Carolina and Dutta, Barun and Paninski, Liam and Siegle, Joshua H and Koch, Christof and Olsen, Shawn R and Harris, Timothy D and Steinmetz, Nicholas A} } @article {69073, title = {Volitional activation of remote place representations with a hippocampal brain-machine interface.}, journal = {Science}, volume = {382}, year = {2023}, month = {2023 Nov 03}, pages = {566-573}, abstract = {

The hippocampus is critical for recollecting and imagining experiences. This is believed to involve voluntarily drawing from hippocampal memory representations of people, events, and places, including maplike representations of familiar environments. However, whether representations in such "cognitive maps" can be volitionally accessed is unknown. We developed a brain-machine interface to test whether rats can do so by controlling their hippocampal activity in a flexible, goal-directed, and model-based manner. We found that rats can efficiently navigate or direct objects to arbitrary goal locations within a virtual reality arena solely by activating and sustaining appropriate hippocampal representations of remote places. This provides insight into the mechanisms underlying episodic memory recall, mental simulation and planning, and imagination and opens up possibilities for high-level neural prosthetics that use hippocampal representations.

}, keywords = {Animals, Brain-Computer Interfaces, Hippocampus, Humans, Imagination, Memory, Episodic, Mental Recall, Rats}, issn = {1095-9203}, doi = {10.1126/science.adh5206}, author = {Lai, Chongxi and Tanaka, Shinsuke and Harris, Timothy D and Lee, Albert K} } @article {67721, title = {Electrode pooling can boost the yield of extracellular recordings with switchable silicon probes.}, journal = {Nature Communications}, volume = {12}, year = {2021}, month = {2021 Sep 02}, pages = {5245}, abstract = {

State-of-the-art silicon probes for electrical recording from neurons have thousands of recording sites. However, due to volume limitations there are typically many fewer wires carrying signals off the probe, which restricts the number of channels that can be recorded simultaneously. To overcome this fundamental constraint, we propose a method called electrode pooling that uses a single wire to serve many recording sites through a set of controllable switches. Here we present the framework behind this method and an experimental strategy to support it. We then demonstrate its feasibility by implementing electrode pooling on the Neuropixels 1.0 electrode array and characterizing its effect on signal and noise. Finally we use simulations to explore the conditions under which electrode pooling saves wires without compromising the content of the recordings. We make recommendations on the design of future devices to take advantage of this strategy.

}, keywords = {Action Potentials, Animals, Brain, Electrodes, Implanted, Electrophysiology, Equipment Design, Extracellular Space, Mice, Nerve Net, Neurons, Signal Processing, Computer-Assisted, Silicon}, issn = {2041-1723}, doi = {10.1038/s41467-021-25443-4}, author = {Lee, Kyu Hyun and Ni, Yu-Li and Colonell, Jennifer and Karsh, Bill and Putzeys, Jan and Pachitariu, Marius and Harris, Timothy D and Meister, Markus} } @article {67232, title = {Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings.}, journal = {Science}, volume = {372}, year = {2021}, month = {2021 Apr 16}, abstract = {

Measuring the dynamics of neural processing across time scales requires following the spiking of thousands of individual neurons over milliseconds and months. To address this need, we introduce the Neuropixels 2.0 probe together with newly designed analysis algorithms. The probe has more than 5000 sites and is miniaturized to facilitate chronic implants in small mammals and recording during unrestrained behavior. High-quality recordings over long time scales were reliably obtained in mice and rats in six laboratories. Improved site density and arrangement combined with newly created data processing methods enable automatic post hoc correction for brain movements, allowing recording from the same neurons for more than 2 months. These probes and algorithms enable stable recordings from thousands of sites during free behavior, even in small animals such as mice.

}, issn = {1095-9203}, doi = {10.1126/science.abf4588}, author = {Steinmetz, Nicholas A and Ayd{\i}n, {\c C}a{\u g}atay and Lebedeva, Anna and Okun, Michael and Pachitariu, Marius and Bauza, Marius and Beau, Maxime and Bhagat, Jai and B{\"o}hm, Claudia and Broux, Martijn and Chen, Susu and Colonell, Jennifer and Gardner, Richard J and Karsh, Bill and Kloosterman, Fabian and Kostadinov, Dimitar and Mora-Lopez, Carolina and O{\textquoteright}Callaghan, John and Park, Junchol and Putzeys, Jan and Sauerbrei, Britton and van Daal, Rik J J and Vollan, Abraham Z and Wang, Shiwei and Welkenhuysen, Marleen and Ye, Zhiwen and Dudman, Joshua T and Dutta, Barundeb and Hantman, Adam W and Harris, Kenneth D and Lee, Albert K and Moser, Edvard I and O{\textquoteright}Keefe, John and Renart, Alfonso and Svoboda, Karel and H{\"a}usser, Michael and Haesler, Sebastian and Carandini, Matteo and Harris, Timothy D} } @article {64864, title = {Multimodal in vivo brain electrophysiology with integrated glass microelectrodes.}, journal = {Nature Biomedical Engineering}, volume = {3}, year = {2019}, month = {2019 Apr 01}, pages = {741-53}, abstract = {

Electrophysiology is the most used approach for the collection of functional data in basic and translational neuroscience, but it is typically limited to either intracellular or extracellular recordings. The integration of multiple physiological modalities for the routine acquisition of multimodal data with microelectrodes could be useful for biomedical applications, yet this has been challenging owing to incompatibilities of fabrication methods. Here, we present a suite of glass pipettes with integrated microelectrodes for the simultaneous acquisition of multimodal intracellular and extracellular information in vivo, electrochemistry assessments, and optogenetic perturbations of neural activity. We used the integrated devices to acquire multimodal signals from the CA1 region of the hippocampus in mice and rats, and show that these data can serve as ground-truth validation for the performance of spike-sorting algorithms. The microdevices are applicable for basic and translational neurobiology, and for the development of next-generation brain-machine interfaces.

}, issn = {2157-846X}, doi = {10.1038/s41551-019-0373-8}, author = {Hunt, David L and Lai, Chongxi and Smith, Richard D and Lee, Albert K and Harris, Timothy D and Barbic, Mladen} } @article {65261, title = {Neuropixels data-acquisition system: A scalable platform for parallel recording of 10 000+ electrophysiological signals.}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {13}, year = {2019}, month = {2019 Dec 01}, pages = {1635-1644}, abstract = {

Although CMOS fabrication has enabled a quick evolution in the design of high-density neural probes and neural-recording chips, the scaling and miniaturization of the complete data-acquisition systems has happened at a slower pace. This is mainly due to the complexity and the many requirements that change depending on the specific experimental settings. In essence, the fundamental challenge of a neural-recording system is getting the signals describing the largest possible set of neurons out of the brain and down to data storage for analysis. This requires a complete system optimization that considers the physical, electrical, thermal and signal-processing requirements, while accounting for available technology, manufacturing constraints and budget. Here we present a scalable and open-standards-based open-source data-acquisition system capable of recording from over 10,000 channels of raw neural data simultaneously. The components and their interfaces have been optimized to ensure robustness and minimum invasiveness in small-rodent electrophysiology.

}, issn = {1940-9990}, doi = {10.1109/TBCAS.2019.2943077}, author = {Putzeys, Jan and Musa, Silke and Mora Lopez, Carolina and Raducanu, Bogdan C and Carton, Alain and De Ceulaer, Jef and Karsh, Bill and Siegle, Joshua H and Van Helleputte, Nick and Harris, Timothy D and Dutta, Barundeb} } @article {49150, title = {Evaluating the potential of using quantum dots for monitoring electrical signals in neurons.}, journal = {Nature Nanotechnology}, volume = {13}, year = {2018}, month = {2018 Apr}, pages = {278-288}, abstract = {

Success in the projects aimed at providing an advanced understanding of the brain is directly predicated on making critical advances in nanotechnology. This Perspective addresses the unique interface of neuroscience and nanomaterials by considering the foundational problem of sensing neuron membrane voltage and offers a potential solution that may be facilitated by a prototypical nanomaterial. Despite substantial improvements, the visualization of instantaneous voltage changes within individual neurons, whether in cell culture or in vivo, at both the single-cell and network level at high speed remains complex and problematic. The unique properties of semiconductor quantum dots (QDs) have made them powerful fluorophores for bioimaging. What is not widely appreciated, however, is that QD photoluminescence is exquisitely sensitive to proximal electric fields. This property should be suitable for sensing voltage changes that occur in the active neuronal membrane. Here, we examine the potential role of QDs in addressing the important challenge of real-time optical voltage imaging.

}, issn = {1748-3395}, doi = {10.1038/s41565-018-0107-1}, author = {Efros, Alexander L and Delehanty, James B and Huston, Alan L and Medintz, Igor L and Barbic, Mladen and Harris, Timothy D} } @article {48463, title = {Detachable glass microelectrodes for recording action potentials in active moving organs.}, journal = {American Journal of Physiology. Heart and Circulatory Physiology}, volume = {312}, year = {2017}, month = {2017 May 05}, pages = {H1248-59}, abstract = {

We describe new detachable floating glass micropipette electrode devices that provide targeted action potential recordings in active moving organs without requiring constant mechanical constraint or pharmacological inhibition of tissue motion. The technology is based on the concept of a glass micropipette electrode that is held firmly during cell targeting and intracellular insertion, after which a 100{\textmu}g glass microelectrode, a "microdevice", is gently released to remain within the moving organ. The microdevices provide long-term recordings of action potentials, even during millimeter-scale movement of tissue in which the device is embedded. We demonstrate two different glass micropipette electrode holding and detachment designs appropriate for the heart (sharp glass microdevices for cardiac myocytes in rats, guinea pigs and humans) and the brain (patch glass microdevices for neurons in rats). We explain how microdevices enable measurements of multiple cells within a moving organ that are typically difficult with other technologies. Using sharp microdevices, action potential duration (APD) was monitored continuously for 15 minutes in unconstrained perfused hearts during global ischemia-reperfusion, providing beat-to-beat measurements of changes in APD. Action potentials from neurons in the hippocampus of anaesthetized rats were measured with patch microdevices, which provided stable base potentials during long-term recordings. Our results demonstrate that detachable microdevices are an elegant and robust tool to record electrical activity with high temporal resolution and cellular level localization without disturbing the physiological working conditions of the organ.

}, issn = {1522-1539}, doi = {10.1152/ajpheart.00741.2016}, author = {Barbic, Mladen and Moreno, Angel and Harris, Timothy D and Kay, Matthew W} } @article {48935, title = {Fully integrated silicon probes for high-density recording of neural activity.}, journal = {Nature}, volume = {551}, year = {2017}, month = {2017 Nov 08}, pages = {232-236}, abstract = {

Sensory, motor and cognitive operations involve the coordinated action of large neuronal populations across multiple brain regions in both superficial and deep structures. Existing extracellular probes record neural activity with excellent spatial and temporal (sub-millisecond) resolution, but from only a few dozen neurons per shank. Optical Ca(2+) imaging offers more coverage but lacks the temporal resolution needed to distinguish individual spikes reliably and does not measure local field potentials. Until now, no technology compatible with use in unrestrained animals has combined high spatiotemporal resolution with large volume coverage. Here we design, fabricate and test a new silicon probe known as Neuropixels to meet this need. Each probe has 384 recording channels that can programmably address 960 complementary metal-oxide-semiconductor (CMOS) processing-compatible low-impedance TiN sites that tile a single 10-mm long, 70 {\texttimes} 20-μm cross-section shank. The 6 {\texttimes} 9-mm probe base is fabricated with the shank on a single chip. Voltage signals are filtered, amplified, multiplexed and digitized on the base, allowing the direct transmission of noise-free digital data from the probe. The combination of dense recording sites and high channel count yielded well-isolated spiking activity from hundreds of neurons per probe implanted in mice and rats. Using two probes, more than 700 well-isolated single neurons were recorded simultaneously from five brain structures in an awake mouse. The fully integrated functionality and small size of Neuropixels probes allowed large populations of neurons from several brain structures to be recorded in freely moving animals. This combination of high-performance electrode technology and scalable chip fabrication methods opens a path towards recording of brain-wide neural activity during behaviour.

}, issn = {1476-4687}, doi = {10.1038/nature24636}, author = {Jun, James J and Steinmetz, Nicholas A and Siegle, Joshua H and Denman, Daniel J and Bauza, Marius and Barbarits, Brian and Lee, Albert K and Anastassiou, Costas A and Andrei, Alexandru and Ayd{\i}n, {\c C}a{\u g}atay and Barbic, Mladen and Blanche, Timothy J and Bonin, Vincent and Couto, Jo{\~a}o and Dutta, Barundeb and Gratiy, Sergey L and Gutnisky, Diego A and H{\"a}usser, Michael and Karsh, Bill and Ledochowitsch, Peter and Lopez, Carolina Mora and Mitelut, Catalin and Musa, Silke and Okun, Michael and Pachitariu, Marius and Putzeys, Jan and Rich, P Dylan and Rossant, Cyrille and Sun, Wei-Lung and Svoboda, Karel and Carandini, Matteo and Harris, Kenneth D and Koch, Christof and O{\textquoteright}Keefe, John and Harris, Timothy D} } @article {48220, title = {Real-time spike sorting platform for high-density extracellular probes with ground-truth validation and drift correction.}, journal = {bioRxiv}, year = {2017}, month = {2017 Jan 19}, abstract = {

Electrical recordings from a large array of electrodes give us access to neural population activity with single-cell, single-spike resolution. These recordings contain extracellular spikes which must be correctly detected and assigned to individual neurons. Despite numerous spike-sorting techniques developed in the past, a lack of high-quality ground-truth datasets hinders the validation of spike-sorting approaches. Furthermore, existing approaches requiring manual corrections are not scalable for hours of recordings exceeding 100 channels. To address these issues, we built a comprehensive spike-sorting pipeline that performs reliably under noise and probe drift by incorporating a channel-covariance feature and a clustering based on fast density-peak finding. We validated performance of our workflow using multiple ground-truth datasets that recently became available. Our software scales linearly and processes a 1000-channel recording in real-time using a single workstation. Accurate, real-time spike sorting from large recording arrays will enable more precise control of closed-loop feedback experiments and brain-computer interfaces.

}, doi = {10.1101/101030}, author = {Jun, James Jaeyoon and Mitelut, Catalin and Lai, Chongxi and Gratiy, Sergey and Anastassiou, Costas and Harris, Timothy D} } @article {45186, title = {Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.}, journal = {Journal of Neurophysiology}, volume = {111}, year = {2014}, month = {2014 Mar}, pages = {1132-49}, abstract = {

Monitoring representative fractions of neurons from multiple brain circuits in behaving animals is necessary for understanding neuronal computation. Here, we describe a system that allows high-channel-count recordings from a small volume of neuronal tissue using a lightweight signal multiplexing headstage that permits free behavior of small rodents. The system integrates multishank, high-density recording silicon probes, ultraflexible interconnects, and a miniaturized microdrive. These improvements allowed for simultaneous recordings of local field potentials and unit activity from hundreds of sites without confining free movements of the animal. The advantages of large-scale recordings are illustrated by determining the electroanatomic boundaries of layers and regions in the hippocampus and neocortex and constructing a circuit diagram of functional connections among neurons in real anatomic space. These methods will allow the investigation of circuit operations and behavior-dependent interregional interactions for testing hypotheses of neural networks and brain function.

}, issn = {1522-1598}, doi = {10.1152/jn.00785.2013}, author = {Berenyi, Antal and Somogyv{\'a}ri, Zolt{\'a}n and Nagy, Anett J and Roux, Lisa and Long, John D and Fujisawa, Shigeyoshi and Stark, Eran and Leonardo, Anthony and Harris, Timothy D and Buzs{\'a}ki, Gy{\"o}rgy} } @article {6674, title = {Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomography.}, journal = {Frontiers in Neural Circuits}, volume = {7}, year = {2013}, month = {2013}, pages = {177}, abstract = {

The subcellular locations of synapses on pyramidal neurons strongly influences dendritic integration and synaptic plasticity. Despite this, there is little quantitative data on spatial distributions of specific types of synaptic input. Here we use array tomography (AT), a high-resolution optical microscopy method, to examine thalamocortical (TC) input onto layer 5 pyramidal neurons. We first verified the ability of AT to identify synapses using parallel electron microscopic analysis of TC synapses in layer 4. We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 {\texttimes} 0.83 {\texttimes} 0.21 mm(3) volume of mouse somatosensory cortex. We found that TC synapses primarily target basal dendrites in layer 5, but also make a considerable input to proximal apical dendrites in L4, consistent with previous work. Our analysis further suggests that TC inputs are biased toward certain branches and, within branches, synapses show significant clustering with an excess of TC synapse nearest neighbors within 5-15 μm compared to a random distribution. Thus, we show that AT is a sensitive and quantitative method to map specific types of synaptic input on the dendrites of entire neurons. We anticipate that this technique will be of wide utility for mapping functionally-relevant anatomical connectivity in neural circuits.

}, issn = {1662-5110}, doi = {10.3389/fncir.2013.00177}, author = {Rah, Jong-Cheol and Bas, Erhan and Colonell, Jennifer and Mishchenko, Yuriy and Karsh, Bill and Fetter, Richard D and Myers, Eugene W and Chklovskii, Dmitri B and Svoboda, Karel and Harris, Timothy D and Isaac, John T R} } @article {4596, title = {Excitation spectra and brightness optimization of two-photon excited probes.}, journal = {Biophysical Journal}, volume = {102}, year = {2012}, month = {2012 Feb 22}, pages = {934-44}, abstract = {

Two-photon probe excitation data are commonly presented as absorption cross section or molecular brightness (the detected fluorescence rate per molecule). We report two-photon molecular brightness spectra for a diverse set of organic and genetically encoded probes with an automated spectroscopic system based on fluorescence correlation spectroscopy. The two-photon action cross section can be extracted from molecular brightness measurements at low excitation intensities, while peak molecular brightness (the maximum molecular brightness with increasing excitation intensity) is measured at higher intensities at which probe photophysical effects become significant. The spectral shape of these two parameters was similar across all dye families tested. Peak molecular brightness spectra, which can be obtained rapidly and with reduced experimental complexity, can thus serve as a first-order approximation to cross-section spectra in determining optimal wavelengths for two-photon excitation, while providing additional information pertaining to probe photostability. The data shown should assist in probe choice and experimental design for multiphoton microscopy studies. Further, we show that, by the addition of a passive pulse splitter, nonlinear bleaching can be reduced-resulting in an enhancement of the fluorescence signal in fluorescence correlation spectroscopy by a factor of two. This increase in fluorescence signal, together with the observed resemblance of action cross section and peak brightness spectra, suggests higher-order photobleaching pathways for two-photon excitation.

}, issn = {1542-0086}, doi = {10.1016/j.bpj.2011.12.056}, author = {M{\"u}tze, J{\"o}rg and Iyer, Vijay and Macklin, John J and Colonell, Jennifer and Karsh, Bill and Petr{\'a}\v sek, Zden\v ek and Schwille, Petra and Looger, Loren L and Lavis, Luke D and Harris, Timothy D} } @article {2201, title = {Single-molecule DNA sequencing of a viral genome.}, journal = {Science}, volume = {320}, year = {2008}, month = {2008 Apr 4}, pages = {106-9}, abstract = {

The full promise of human genomics will be realized only when the genomes of thousands of individuals can be sequenced for comparative analysis. A reference sequence enables the use of short read length. We report an amplification-free method for determining the nucleotide sequence of more than 280,000 individual DNA molecules simultaneously. A DNA polymerase adds labeled nucleotides to surface-immobilized primer-template duplexes in stepwise fashion, and the asynchronous growth of individual DNA molecules was monitored by fluorescence imaging. Read lengths of \>25 bases and equivalent phred software program quality scores approaching 30 were achieved. We used this method to sequence the M13 virus to an average depth of \>150x and with 100\% coverage; thus, we resequenced the M13 genome with high-sensitivity mutation detection. This demonstrates a strategy for high-throughput low-cost resequencing.

}, keywords = {Algorithms, Bacteriophage M13, Computational Biology, DNA, DNA Primers, Genetic, Genome, Mutation, Sequence Alignment, Sequence Analysis, Software, Templates, Viral}, issn = {1095-9203}, doi = {10.1038/nbt0510-426}, author = {Harris, Timothy D and Buzby, Phillip R and Babcock, Hazen and Beer, Eric and Bowers, Jayson and Braslavsky, Ido and Causey, Marie and Colonell, Jennifer and Dimeo, James and Efcavitch, J William and Giladi, Eldar and Gill, Jaime and Healy, John and Jarosz, Mirna and Lapen, Dan and Moulton, Keith and Quake, Stephen R and Steinmann, Kathleen and Thayer, Edward and Tyurina, Anastasia and Ward, Rebecca and Weiss, Howard and Xie, Zheng} }