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.
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“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
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2 of the 64 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
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Cited by
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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
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