The DOI matches its Crossref record; 62 of the 64 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
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
The Organization of Behavior: A Neuropsychological Theory
(1950) · JAMA · doi:10.1001/jama.1950.02910470083028 · Cited by 4,272
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
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
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
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
Shadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178
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
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
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757
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
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
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
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
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
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
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
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
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
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
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
Self-citationBarthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912
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
Organization of cell assemblies in the hippocampus
Harris, K. D., Csicsvari, J., Hirase, H., Dragoi, G., & Buzsáki, G. (2003) · Nature · doi:10.1038/nature01834 · Cited by 901
Self-citationSomogyi, P., Tamás, G., Luján, R., & Buhl, E. H. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00061-1 · Cited by 876
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 866
Tungsten Microelectrode for Recording from Single Units
Hubel, D. H. (1957) · Science · doi:10.1126/science.125.3247.549 · Cited by 864
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
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
Connecting cortex to machines: recent advances in brain interfaces
Donoghue, J. P. (2002) · Nature Neuroscience · doi:10.1038/nn947 · Cited by 720
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
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
Self-citationMcNaughton, B. L., O'Keefe, J. M., & Barnes, C. A. (1983) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(83)90097-3 · Cited by 580
Pyramidal 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
Kawaguchi, Y., & Kubota, Y. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.1.387 · Cited by 558
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
Neural 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 404
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
Self-citationTemporal 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
Self-citationFee, M. S., Mitra, P. P., & Kleinfeld, D. (1996) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(96)00050-7 · Cited by 357
Electrical 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 354
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
A Systems Perspective on Early Olfactory Coding
Laurent, G. (1999) · Science · doi:10.1126/science.286.5440.723 · Cited by 347
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
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
Microfabrication Techniques for Integrated Sensors and Microsystems
Wise, K. D., & Najafi, K. (1991) · Science · doi:10.1126/science.1962192 · Cited by 309
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 306
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 244
Self-citationNicolelis, M. A. L., Lin, R. C. S., Woodward, D. J., & Chapin, J. K. (1993) · Nature · doi:10.1038/361533a0 · Cited by 215
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
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
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
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
Self-citationDouglas, R. J., & Martin, K. A. C. (1991) · Trends in Neurosciences · doi:10.1016/0166-2236(91)90139-l · Cited by 139
Using multi-neuron population recordings for neural prosthetics
Chapin, J. K. (2004) · Nature Neuroscience · doi:10.1038/nn1234 · Cited by 138
TAKAHASHI, S. Y., Anzai, Y., & Sakurai, Y. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00827.2002 · Cited by 130
Monyer, H., & Markram, H. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.12.008 · Cited by 125
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
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
Quirk, M. C., Blum, K. I., & Wilson, M. A. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-01-00240.2001 · Cited by 92
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
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
Research works printed but not linked: 4
- Wise, K.D. Micromachined Interfaces to the cellular world. Sensors Materials 10, 385–395 (1998).
- Buzsáki, G., Traub, R.D. & Pedley, T. The cellular synaptic generation of EEG. in Current Practice of Clinical Encephalography Edn. 3 (eds. Ebersole, J.S. & Pedley, T.A.) 1–11 (Lippincott Williams & Wilkins, Philadelphia, 2003).
- Eichenbaum, H. & Davis, J.L. Neuronal Ensembles: Strategies for Recording and Coding (Wiley-Liss, New York, 1988).
- Olsson III, R.H., Buhl, D.L., Gulari, M.N., Buzsaki, G. & Wise, K.D. A silicon microelectrode array for simultaneous recording and stimulation in the hippocampus of free moving rats and mice. IEEE Eng. Med. Biol. Mag. 22, 1968–1671, 2003.
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
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
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
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
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
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
