Large-scale recording of neuronal ensembles
Abstract
How does the brain orchestrate perceptions, thoughts and actions from the spiking activity of its neurons? Early single-neuron recording research treated spike pattern variability as noise that needed to be averaged out to reveal the brain's representation of invariant input. Another view is that variability of spikes is centrally coordinated and that this brain-generated ensemble pattern in cortical structures is itself a potential source of cognition. Large-scale recordings from neuronal ensembles now offer the opportunity to test these competing theoretical frameworks. Currently, wire and micro-machined silicon electrode arrays can record from large numbers of neurons and monitor local neural circuits at work. Achieving the full potential of massively parallel neuronal recordings, however, will require further development of the neuron-electrode interface, automated and efficient spike-sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.
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The main aim of such studies is to learn how the activity of neuronal groups relates to sensation, behavior and cognition.
“The primary goal of such studies is to understand how the activities of groups of neurons are related to sensation, behavior and cognition [14, 117].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [14]
Cites
The Organization of Behavior; A Neuropsychological Theory.
Attneave, F., B., M., & Hebb, D. O. (1950) · The American Journal of Psychology · doi:10.2307/1418888 · Cited by 5,146 · see citing works
The Organization of Behavior: A Neuropsychological Theory
(1950) · JAMA · doi:10.1001/jama.1950.02910470083028 · Cited by 4,271 · see citing works
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183 · see citing works
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454 · see citing works
Dynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350 · see citing works
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285 · see citing works
Shadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178 · see citing works
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
Quiroga, R. Q., Nadasdy, Z., & Ben-Shaul, Y. (2004) · Neural Computation · doi:10.1162/089976604774201631 · Cited by 2,119 · see citing works
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761 · see citing works
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757 · see citing works
Direct Cortical Control of 3D Neuroprosthetic Devices
Taylor, D. M., Tillery, S. I. H., & Schwartz, A. B. (2002) · Science · doi:10.1126/science.1070291 · Cited by 1,542 · see citing works
A review of methods for spike sorting: the detection and classification of neural action potentials
Lewicki, M. S. (1998) · Network Computation in Neural Systems · doi:10.1088/0954-898x_9_4_001 · Cited by 1,372 · see citing works
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345 · see citing works
Self-citationMemory of sequential experience in the hippocampus during slow wave sleep
Lee, A. K., & Wilson, M. A. (2002) · Neuron · doi:10.1016/s0896-6273(02)01096-6 · Cited by 1,296 · see citing works
High-frequency network oscillation in the hippocampus
Buzsáki, G., Horváth, Z., Urioste, R., Hetke, J. F., & Wise, K. D. (1992) · Science · doi:10.1126/science.1589772 · Cited by 1,223 · see citing works
Self-citationHarris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153 · see citing works
Self-citationTemporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep
Louie, K., & Wilson, M. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00186-6 · Cited by 1,148 · see citing works
Bialek, W., Rieke, F. M., van Steveninck, R. R. D. R., & Warland, D. K. (1991) · Science · doi:10.1126/science.2063199 · Cited by 1,001 · see citing works
Oscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
Csicsvari, J., Hirase, H., Czurkó, A., Mamiya, A., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00274.1999 · Cited by 966 · see citing works
Self-citationIntracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942 · see citing works
Self-citationReplay and Time Compression of Recurring Spike Sequences in the Hippocampus
Nádasdy, Z., Hirase, H., Czurkó, A., Csicsvari, J., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09497.1999 · Cited by 932 · see citing works
Self-citationMental Rotation of the Neuronal Population Vector
Georgopoulos, A. P., Lurito, J. T., Petrides, M., Schwartz, A. B., & Massey, J. T. (1989) · Science · doi:10.1126/science.2911737 · Cited by 910 · see citing works
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M. B., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 888 · see citing works
Self-citationOrganization of cell assemblies in the hippocampus
Harris, K. D., Csicsvari, J. L., Hirase, H., Dragoi, G., & Buzsáki, G. (2003) · Nature · doi:10.1038/nature01834 · Cited by 869 · see citing works
Self-citationSomogyi, P., Tamás, G., Luján, R., & Buhl, E. H. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00061-1 · Cited by 860 · see citing works
Multiple neural spike train data analysis: state-of-the-art and future challenges
Brown, E. N., Kass, R. E., & Mitra, P. P. (2004) · Nature Neuroscience · doi:10.1038/nn1228 · Cited by 857 · see citing works
Tungsten Microelectrode for Recording from Single Units
Hubel, D. H. (1957) · Science · doi:10.1126/science.125.3247.549 · Cited by 852 · see citing works
Action potential initiation and backpropagation in neurons of the mammalian CNS
Stuart, G., Spruston, N., Sakmann, B., & Häusser, M. (1997) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)10075-8 · Cited by 768 · see citing works
Gray, C. M., Maldonado, P., Wilson, M., & McNaughton, B. L. (1995) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(95)00085-2 · Cited by 746 · see citing works
Connecting cortex to machines: recent advances in brain interfaces
Donoghue, J. P. (2002) · Nature Neuroscience · doi:10.1038/nn947 · Cited by 720 · see citing works
Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex
Rousche, P. J., & Normann, R. A. (1998) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(98)00031-4 · Cited by 646 · see citing works
Reliability and State Dependence of Pyramidal Cell–Interneuron Synapses in the Hippocampus
Csicsvari, J., Hirase, H., Czurko, A., & Buzsáki, G. (1998) · Neuron · doi:10.1016/s0896-6273(00)80525-5 · Cited by 606 · see citing works
Self-citationPyramidal cell communication within local networks in layer 2/3 of rat neocortex.
Holmgren, C., Harkany, T., Svennenfors, B., & Zilberter, Y. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.044784 · Cited by 573 · see citing works
McNaughton, B. L., O'Keefe, J. M., & Barnes, C. A. (1983) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(83)90097-3 · Cited by 571 · see citing works
Kawaguchi, Y., & Kubota, Y. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.1.387 · Cited by 558 · see citing works
Coordinated Reactivation of Distributed Memory Traces in Primate Neocortex
Hoffman, K. L., & McNaughton, B. L. (2002) · Science · doi:10.1126/science.1073538 · Cited by 420 · see citing works
Massively Parallel Recording of Unit and Local Field Potentials With Silicon-Based Electrodes
Csicsvari, J., Henze, D. A., Jamieson, B., Harris, K. D., Sirota, A., Barthó, P., Wise, K. D., & Buzsáki, G. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00116.2003 · Cited by 402 · see citing works
Self-citationNeural Representation and the Cortical Code
deCharms, R. C., & Zador, A. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.613 · Cited by 392 · see citing works
Temporal Interaction between Single Spikes and Complex Spike Bursts in Hippocampal Pyramidal Cells
Harris, K. D., Hirase, H., Leinekugel, X., Henze, D. A., & Buzsáki, G. (2001) · Neuron · doi:10.1016/s0896-6273(01)00447-0 · Cited by 388 · see citing works
Self-citationElectrical Interactions via the Extracellular Potential Near Cell Bodies
Holt, G. R., & Koch, C. (1999) · Journal of Computational Neuroscience · doi:10.1023/a:1008832702585 · Cited by 360 · see citing works
Fee, M. S., Mitra, P. P., & Kleinfeld, D. (1996) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(96)00050-7 · Cited by 357 · see citing works
Fast-spike Interneurons and Feedforward Inhibition in Awake Sensory Neocortex
Swadlow, H. A. (2002) · Cerebral Cortex · doi:10.1093/cercor/13.1.25 · Cited by 354 · see citing works
A Systems Perspective on Early Olfactory Coding
Laurent, G. (1999) · Science · doi:10.1126/science.286.5440.723 · Cited by 347 · see citing works
Robust, automatic spike sorting using mixtures of multivariate t-distributions
Shoham, S., Fellows, M. R., & Normann, R. A. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(03)00120-1 · Cited by 331 · see citing works
Using noise signature to optimize spike-sorting and to assess neuronal classification quality
Pouzat, C., Mazor, O., & Laurent, G. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00276-5 · Cited by 310 · see citing works
Microfabrication Techniques for Integrated Sensors and Microsystems
Wise, K. D., & Najafi, K. (1991) · Science · doi:10.1126/science.1962192 · Cited by 309 · see citing works
Distribution of spatial and nonspatial information in dorsal hippocampus
Hampson, R. E., Simeral, J. D., & Deadwyler, S. A. (1999) · Nature · doi:10.1038/45154 · Cited by 303 · see citing works
Buzsáki, G., Penttonen, M., Nádasdy, Z., & Bragin, A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9921 · Cited by 239 · see citing works
Self-citationNicolelis, M. A. L., Lin, R. C. S., Woodward, D. J., & Chapin, J. K. (1993) · Nature · doi:10.1038/361533a0 · Cited by 215 · see citing works
Spike sorting based on discrete wavelet transform coefficients
Letelier, J., & Weber, P. P. (2000) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(00)00250-8 · Cited by 210 · see citing works
Ensemble Activity and Behavior—What's the Code?
Deadwyler, S. A., & Hampson, R. E. (1995) · Science · doi:10.1126/science.270.5240.1316 · Cited by 192 · see citing works
A 32-site neural recording probe fabricated by DRIE of SOI substrates
Peter Norlin, A., Kindlundh, M., Mouroux, A., Yoshida, K., & Hofmann, U. (2002) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/12/4/312 · Cited by 184 · see citing works
Somadendritic Backpropagation of Action Potentials in Cortical Pyramidal Cells of the Awake Rat
Buzsáki, G., & Kandel, A. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.3.1587 · Cited by 157 · see citing works
Self-citationDouglas, R. J., & Martin, K. A. C. (1991) · Trends in Neurosciences · doi:10.1016/0166-2236(91)90139-l · Cited by 139 · see citing works
Using multi-neuron population recordings for neural prosthetics
Chapin, J. K. (2004) · Nature Neuroscience · doi:10.1038/nn1234 · Cited by 138 · see citing works
TAKAHASHI, S. Y., Anzai, Y., & Sakurai, Y. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00827.2002 · Cited by 130 · see citing works
Monyer, H., & Markram, H. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.12.008 · Cited by 125 · see citing works
Tetrode technology: advances in implantable hardware, neuroimaging, and data analysis techniques
Jog, M., Connolly, C. I., Kubota, Y., Iyengar, D. R., Garrido, L., Harlan, R., & Graybiel, A. M. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00092-4 · Cited by 109 · see citing works
Interaction between spike waveform classification and temporal sequence detection
Quirk, M. C., & Wilson, M. A. (1999) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(99)00124-7 · Cited by 99 · see citing works
Quirk, M. C., Blum, K. I., & Wilson, M. A. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-01-00240.2001 · Cited by 93 · see citing works
Signal-to-noise ratio improvement in multiple electrode recording
Musiał, P., Baker, S. N., Gerstein, G. L., King, E. A., & Keating, J. G. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00516-7 · Cited by 73 · see citing works
Chapter 22 What ensemble recordings reveal about functional hippocampal cell encoding
Hampson, R. E., Simeral, J. D., & Deadwyler, S. A. (2001) · Progress in brain research · doi:10.1016/s0079-6123(01)30023-7 · Cited by 12 · see citing works
Flagged first, then by citations
2 of the 64 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225 · see citing works
Self-citationFully integrated silicon probes for high-density recording of neural activity
Jun, J. J., Steinmetz, N. A., Siegle, J. H., Denman, D. J., Bauza, M., Barbarits, B., Lee, A. K., Anastassiou, C. A., Andrei, A., Aydın, Ç., et al. (2017) · Nature · doi:10.1038/nature24636 · Cited by 2,190 · see citing works
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070 · see citing works
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939 · see citing works
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491 · see citing works
Neuronal signalling of fear memory
Maren, S., & Quirk, G. J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1535 · Cited by 1,428 · see citing works
Neural syntax: cell assemblies, synapsembles, and readers
Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289 · see citing works
Self-citationLong-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155 · see citing works
Imaging large-scale neural activity with cellular resolution in awake, mobile mice
Dombeck, D. A., Khabbaz, A. N., Collman, F., Adelman, T. L., & Tank, D. W. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.003 · Cited by 1,099 · see citing works
Trujillo, C. A., Gao, R., Negraes, P. D., Gu, J., Buchanan, J., Preissl, S., Wang, A., Wu, W., Haddad, G. G., Chaim, I. A., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.08.002 · Cited by 974 · see citing works
Manning, J. R., Jacobs, J., Fried, I., & Kahana, M. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2041-09.2009 · Cited by 973 · see citing works
The log-dynamic brain: how skewed distributions affect network operations
Buzsáki, G., & Mizuseki, K. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3687 · Cited by 964 · see citing works
Self-citationNeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938 · see citing works
Self-citationFunctional imaging of hippocampal place cells at cellular resolution during virtual navigation
Dombeck, D. A., Harvey, C. D., Tian, L., Looger, L. L., & Tank, D. W. (2010) · Nature Neuroscience · doi:10.1038/nn.2648 · Cited by 873 · see citing works
Benchenane, K., Peyrache, A., Khamassi, M., Tierney, P. L., Gioanni, Y., Battaglia, F. P., & Wiener, S. I. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.013 · Cited by 872 · see citing works
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857 · see citing works
Mitra, P. P., & Bokil, H. (2007) · doi:10.1093/acprof:oso/9780195178081.001.0001 · Cited by 819 · see citing works
Extracting information from neuronal populations: information theory and decoding approaches
Quiroga, R. Q., & Panzeri, S. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2578 · Cited by 799 · see citing works
Spike sorting for large, dense electrode arrays
Rossant, C., Kadir, S., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A., Belluscio, M., Denfield, G. H., Ecker, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4268 · Cited by 760 · see citing works
Self-citationKilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channelsPreprint
Pachitariu, M., Steinmetz, N. A., Kadir, S., Carandini, M., & Harris Kenneth, D. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/061481 · Cited by 741 · see citing works
Novel electrode technologies for neural recordings
Hong, G., & Lieber, C. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0140-6 · Cited by 695 · see citing works
Neuronal variability: noise or part of the signal?
Stein, R. B., Gossen, E. R., & Jones, K. E. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1668 · Cited by 658 · see citing works
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Lebedev, M., & Nicolelis, M. A. L. (2017) · Physiological Reviews · doi:10.1152/physrev.00027.2016 · Cited by 655 · see citing works
Cortical connectivity and sensory coding
Harris, K. D., & Mrsic‐Flogel, T. D. (2013) · Nature · doi:10.1038/nature12654 · Cited by 642 · see citing works
Quantitative measures of cluster quality for use in extracellular recordings
Schmitzer-Torbert, N. C., Jackson, J. C., Henze, D. A., Harris, K., & Redish, A. D. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2004.09.066 · Cited by 642 · see citing works
Genetically encoded indicators of neuronal activity
Lin, M. Z., & Schnitzer, M. J. (2016) · Nature Neuroscience · doi:10.1038/nn.4359 · Cited by 631 · see citing works
Betzel, R. F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.006 · Cited by 587 · see citing works
A Review of Organic and Inorganic Biomaterials for Neural Interfaces
Fattahi, P., Yang, G., Kim, G., & Abidian, M. R. (2014) · Advanced Materials · doi:10.1002/adma.201304496 · Cited by 580 · see citing works
Castrén, E. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1629 · Cited by 563 · see citing works
Spatial representation in the hippocampal formation: a history
Moser, E. I., Moser, M.-B., & McNaughton, B. L. (2017) · Nature Neuroscience · doi:10.1038/nn.4653 · Cited by 560 · see citing works
Hazan, L., Zugaro, M. B., & Buzsáki, G. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.01.017 · Cited by 492 · see citing works
Self-citationImaging input and output of neocortical networks <i>in vivo</i>
Kerr, J. N. D., Greenberg, D., & Helmchen, F. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506029102 · Cited by 474 · see citing works
Neural probe design for reduced tissue encapsulation in CNS
Seymour, J. P., & Kipke, D. R. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.03.024 · Cited by 462 · see citing works
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
O’Connor, D. H., Peron, S., Huber, D., & Svoboda, K. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.026 · Cited by 453 · see citing works
Past, present and future of spike sorting techniques
Rey, H. G., Pedreira, C., & Quiroga, R. Q. (2015) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2015.04.007 · Cited by 451 · see citing works
Play it again: reactivation of waking experience and memory
O’Neill, J., Pleydell-Bouverie, B., Dupret, D., & Csicsvari, J. L. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.01.006 · Cited by 448 · see citing works
Modeling the Spatial Reach of the LFP
Lindén, H., Tetzlaff, T., Potjans, T. C., Pettersen, K. H., Grün, S., Diesmann, M., & Einevoll, G. T. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.006 · Cited by 443 · see citing works
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441 · see citing works
Quality Metrics to Accompany Spike Sorting of Extracellular Signals
Hill, D. N., Mehta, S. B., & Kleinfeld, D. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0971-11.2011 · Cited by 441 · see citing works
Network perspectives on the mechanisms of deep brain stimulation
McIntyre, C. C., & Hahn, P. J. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.09.022 · Cited by 439 · see citing works
Yger, P., Spampinato, G. L., Esposito, E., Lefebvre, B., Deny, S., Gardella, C., Stimberg, M., Jetter, F., Zeck, G. M., Picaud, S. A., et al. (2018) · eLife · doi:10.7554/elife.34518 · Cited by 431 · see citing works
LFP Power Spectra in V1 Cortex: The Graded Effect of Stimulus Contrast
Henrie, J. A., & Shapley, R. M. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00919.2004 · Cited by 425 · see citing works
Control of Hand Prostheses Using Peripheral Information
Micera, S., Carpaneto, J., & Raspopović, S. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2085429 · Cited by 405 · see citing works
Conducting Polymers for Neural Prosthetic and Neural Interface Applications
Green, R. A., & Abidian, M. R. (2015) · Advanced Materials · doi:10.1002/adma.201501810 · Cited by 397 · see citing works
Cortical Local Field Potential Encodes Movement Intentions in the Posterior Parietal Cortex
Scherberger, H., Jarvis, M. R., & Andersen, R. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.03.004 · Cited by 389 · see citing works
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
Jorfi, M., Skousen, J. L., Weder, C., & Capadona, J. R. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/011001 · Cited by 384 · see citing works
Graham, K. S., Barense, M. D., & Lee, A. C. H. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.01.001 · Cited by 374 · see citing works
Subbaroyan, J., Martin, D. C., & Kipke, D. R. (2005) · Journal of Neural Engineering · doi:10.1088/1741-2560/2/4/006 · Cited by 368 · see citing works
Imaging cellular network dynamics in three dimensions using fast 3D laser scanning
Göbel, W., Kampa, B. M., & Helmchen, F. (2006) · Nature Methods · doi:10.1038/nmeth989 · Cited by 366 · see citing works
Information Processing in the Primate Retina: Circuitry and Coding
Field, G. D., & Chichilnisky, E. J. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094252 · Cited by 364 · see citing works
Thirst regulates motivated behavior through modulation of brainwide neural population dynamics
Allen, W. E., Chen, M. Z., Pichamoorthy, N., Tien, R. H., Pachitariu, M., Luo, L., & Deisseroth, K. A. (2019) · Science · doi:10.1126/science.aav3932 · Cited by 362 · see citing works
Buzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 358 · see citing works
Self-citationNanotools for Neuroscience and Brain Activity Mapping
Alivisatos, A. P., Andrews, A. M., Boyden, E. S., Chun, M., Church, G. M., Deisseroth, K. A., Donoghue, J. P., Fraser, S. E., Lippincott‐Schwartz, J., Looger, L. L., et al. (2013) · ACS Nano · doi:10.1021/nn4012847 · Cited by 353 · see citing works
The hippocampus: hub of brain network communication for memory
Battaglia, F. P., Benchenane, K., Sirota, A., Pennartz, C. M. A., & Wiener, S. I. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.008 · Cited by 351 · see citing works
Pettersen, K. H., Devor, A., Ulbert, I., Dale, A. M., & Einevoll, G. T. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.12.005 · Cited by 350 · see citing works
Rutishauser, U., Schuman, E. M., & Mamelak, A. N. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.12.033 · Cited by 340 · see citing works
Limbic and cortical information processing in the nucleus accumbens
Goto, Y., & Grace, A. A. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.08.002 · Cited by 332 · see citing works
Tools for Probing Local Circuits: High-Density Silicon Probes Combined with Optogenetics
Buzsáki, G., Stark, E., Berényi, A., Khodagholy, D., Kipke, D. R., Yoon, E., & Wise, K. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.028 · Cited by 328 · see citing works
Self-citationChung, J. E., Joo, H. R., Fan, J. L., Liu, D. F., Barnett, A. H., Chen, S., Geaghan-Breiner, C., Karlsson, M. P., Karlsson, M., Lee, K. Y., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.002 · Cited by 327 · see citing works
Berdondini, L., Imfeld, K., Maccione, A., Tedesco, M., Neukom, S., Koudelka‐Hep, M., & Sergio Martinoia, A. (2009) · Lab on a Chip · doi:10.1039/b907394a · Cited by 320 · see citing works
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 311 · see citing works
Motor learning promotes remyelination via new and surviving oligodendrocytes
Bacmeister, C. M., Barr, H. J., McClain, C. R., Thornton, M. A., Nettles, D., Welle, C. G., & Hughes, E. G. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0637-3 · Cited by 310 · see citing works
Sparse coding and high-order correlations in fine-scale cortical networks
Ohiorhenuan, I. E., Mechler, F., Purpura, K. P., Schmid, A., Hu, Q., & Victor, J. D. (2010) · Nature · doi:10.1038/nature09178 · Cited by 308 · see citing works
Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals
Berényi, A., Somogyvári, Z., Nagy, A. J., Roux, L., Long, J. D., Fujisawa, S., Stark, E., Leonardo, A. M., Harris, T. D., & Buzsáki, G. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00785.2013 · Cited by 299 · see citing works
Self-citationBridging the Brain to the World: A Perspective on Neural Interface Systems
Donoghue, J. P. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.037 · Cited by 294 · see citing works
Disentangling neural cell diversity using single-cell transcriptomics
Poulin, J.-F., Tasic, B., Hjerling-Leffler, J., Trimarchi, J. M., & Awatramani, R. (2016) · Nature Neuroscience · doi:10.1038/nn.4366 · Cited by 293 · see citing works
Mapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse
Kim, Y., Venkataraju, K. U., Pradhan, K., Mende, C., Taranda, J., Turaga, S. C., Arganda‐Carreras, I., Ng, L., Hawrylycz, M., Rockland, K. S., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.12.014 · Cited by 292 · see citing works
Prediction, sequences and the hippocampus
Lisman, J. E., & Redish, A. D. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0316 · Cited by 285 · see citing works
Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities
Kipke, D. R., Shain, W. G., Buzsáki, G., Fetz, E. E., Henderson, J. M., Hetke, J. F., & Schalk, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3879-08.2008 · Cited by 283 · see citing works
Self-citationPolytrodes: High-Density Silicon Electrode Arrays for Large-Scale Multiunit Recording
Blanche, T. J., Spacek, M. A., Hetke, J. F., & Swindale, N. V. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01023.2004 · Cited by 282 · see citing works
mGRASP enables mapping mammalian synaptic connectivity with light microscopy
Kim, J., Zhao, T., Petralia, R. S., Yu, Y., Peng, H., Myers, E. W., & Magee, J. C. (2011) · Nature Methods · doi:10.1038/nmeth.1784 · Cited by 281 · see citing works
Cells preferentially grow on rough substrates
Gentile, F., Tirinato, L., Battista, E., Causa, F., Liberale, C., Fabrizio, E. M. D., & Decuzzi, P. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.06.016 · Cited by 278 · see citing works
Mechanically-compliant intracortical implants reduce the neuroinflammatory response
Nguyen, J. K., Park, D. J., Skousen, J. L., Hess-Dunning, A. E., Tyler, D. J., Rowan, S. J., Weder, C., & Capadona, J. R. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056014 · Cited by 274 · see citing works
Engel, J., Jr., Thompson, P. M., Stern, J. M., Staba, R. J., Bragin, A., & Módy, I. (2013) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32835ee5b8 · Cited by 274 · see citing works
Reimann, M., Anastassiou, C. A., Perin, R., Hill, S., Markram, H., & Christof Koch, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.023 · Cited by 270 · see citing works
CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging
Abbott, J., Ye, T., Qin, L., Jorgolli, M., Gertner, R. S., Ham, D., & Park, H. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.3 · Cited by 267 · see citing works
Towards neural circuit reconstruction with volume electron microscopy techniques
Briggman, K. L., & Denk, W. T. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.08.010 · Cited by 266 · see citing works
Physical principles for scalable neural recording
Marblestone, A. H., Zamft, B. M., Maguire, Y. G., Shapiro, M. G., Cybulski, T. R., Glaser, J. I., Amodei, D., Stranges, P. B., Kalhor, R., Dalrymple, D., et al. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00137 · Cited by 27 · see citing works
An Implantable 455-Active-Electrode 52-Channel CMOS Neural Probe
Lopez, C. M., Andrei, A., Mitra, S., Welkenhuysen, M., Eberle, W., Bartic, C., Puers, R., Yazicioglu, R. F., & Gielen, G. G. E. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2284347 · Cited by 264 · see citing works
Gieselmann, M. A., & Thiele, A. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06358.x · Cited by 261 · see citing works
Improving data quality in neuronal population recordings
Harris, K. D., Quiroga, R. Q., Freeman, J., & Smith, S. L. (2016) · Nature Neuroscience · doi:10.1038/nn.4365 · Cited by 261 · see citing works
Transparent, conformable, active multielectrode array using organic electrochemical transistors
Lee, W., Kim, D., Matsuhisa, N., Nagase, M., Sekino, M., Malliaras, G. G., Yokota, T., & Someya, T. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703886114 · Cited by 258 · see citing works
Abidian, M. R., Ludwig, K. A., Marzullo, T., Martin, D. C., & Kipke, D. R. (2009) · Advanced Materials · doi:10.1002/adma.200900887 · Cited by 256 · see citing works
Amplitude Variability and Extracellular Low-Pass Filtering of Neuronal Spikes
Pettersen, K. H., & Einevoll, G. T. (2007) · Biophysical Journal · doi:10.1529/biophysj.107.111179 · Cited by 253 · see citing works
Deneux, T., Kaszás, A., Szalay, G., Katona, G., Lakner, T., Grinvald, A., Rózsa, B. J., & Vanzetta, I. (2016) · Nature Communications · doi:10.1038/ncomms12190 · Cited by 251 · see citing works
Hyperconnectivity is a fundamental response to neurological disruption.
Hillary, F. G., Román, C. A. F., Venkatesan, U. M., Rajtmajer, S. M., Bajo, R., & Castellanos, N. P. (2014) · Neuropsychology · doi:10.1037/neu0000110 · Cited by 248 · see citing works
Royer, S., Zemelman, B. V., Barbic, M., Losonczy, A., Buzsáki, G., & Magee, J. C. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07250.x · Cited by 247 · see citing works
Self-citationDiode probes for spatiotemporal optical control of multiple neurons in freely moving animals
Stark, E., Koós, T. Z., & Buzsáki, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00153.2012 · Cited by 247 · see citing works
Self-citationSpatial Spread of the Local Field Potential and its Laminar Variation in Visual Cortex
Xing, D., Yeh, C.-I., & Shapley, R. M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2573-09.2009 · Cited by 246 · see citing works
Synch before you speak: Auditory hallucinations in schizophrenia
Ford, J. M., Roach, B. J., Faustman, W. O., & Mathalon, D. H. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.3.458 · Cited by 245 · see citing works
How can drug discovery for psychiatric disorders be improved?
Agid, Y., Buzsáki, G., Diamond, D. M., Frackowiak, R., Giedd, J., Girault, J.-A., Grace, A., Lambert, J. J., Manji, H., Mayberg, H., et al. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2217 · Cited by 240 · see citing works
Self-citationPotter, K. A., Buck, A. C., Self, W. K., & Capadona, J. R. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/046020 · Cited by 239 · see citing works
Synaptic Computation and Sensory Processing in Neocortical Layer 2/3
Petersen, C. C. H., & Crochet, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.020 · Cited by 239 · see citing works
Cell type specificity of neurovascular coupling in cerebral cortex
Uhlířová, H., Kılıç, K., Tian, P., Thunemann, M., Desjardins, M., Saisan, P. A., Sakadžić, S., Ness, T. V., Matéo, C., Cheng, Q., et al. (2016) · eLife · doi:10.7554/elife.14315 · Cited by 237 · see citing works
Pacemaker neurons and neuronal networks: an integrative view
Ramirez, J., Tryba, A. K., & Peña‐Ortega, F. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.011 · Cited by 235 · see citing works
Intrinsic dendritic filtering gives low-pass power spectra of local field potentials
Lindén, H., Pettersen, K. H., & Einevoll, G. T. (2010) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0245-4 · Cited by 232 · see citing works
Zhang, M., Tang, Z., Liu, X., & Van der Spiegel, J. (2020) · Nature Electronics · doi:10.1038/s41928-020-0390-3 · Cited by 231 · see citing works
Multiplexed, High Density Electrophysiology with Nanofabricated Neural Probes
Du, J., Blanche, T. J., Harrison, R. R., Lester, H. A., & Masmanidis, S. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026204 · Cited by 231 · see citing works
Decoding Neuronal Ensembles in the Human Hippocampus
Hassabis, D., Chu, C., Rees, G., Weiskopf, N., Molyneux, P. D., & Maguire, E. A. (2009) · Current Biology · doi:10.1016/j.cub.2009.02.033 · Cited by 231 · see citing works
Albouy, P., Weiss, A., Baillet, S., & Zatorre, R. J. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.015 · Cited by 225 · see citing works
- Authors
- Buzsáki, G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Buzsáki, György
- ORCID
- Buzsáki, György
- Venue
- Nature Neuroscience
- Published
- 2004-04-27
- Volume
- 7
- Issue
- 5
- Pages
- 446-451
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2007495909
- Cited by
- 1,875
- References
- 64
- Citations by year
- 2026: 59 · 2025: 105 · 2024: 88 · 2023: 94 · 2022: 89 · 2021: 98 · 2020: 92 · 2019: 119 · 2018: 102 · 2017: 111 · 2016: 99 · 2015: 102 · 2014: 108 · 2013: 98 · 2012: 65
- FWCI
- 4.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5p41rr009754-09)
- National Institute of Mental Health (R01MH054671, MH54671)
- National Institute of Neurological Disorders and Stroke (NS 43157, R01NS043157, R01NS034994, NS-34994)
- National Center for Research Resources (1P41RR-09754)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- neuronal ensembles, large-scale neural recording, spike sorting, cortical circuits, neural network analysis, single-unit recording
- MeSH terms
- Action Potentials, Animals, Brain, Electrophysiology, Humans, Microelectrodes, Nerve Net, Neurons, Neurophysiology
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