The DOI matches its Crossref record; 251 of the 251 references it cites were found in a registry or an index.
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Open accessAbstract
The highly interconnected local and large-scale networks of the neocortical sheet rapidly and dynamically modulate their functional connectivity according to behavioral demands. This basic operating principle of the neocortex is mediated by the continuously changing flow of excitatory and inhibitory synaptic barrages that not only control participation of neurons in networks but also define the networks themselves. The rapid control of neuronal responsiveness via synaptic bombardment is a fundamental property of cortical dynamics that may provide the basis of diverse behaviors, including sensory perception, motor integration, working memory, and attention.
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“Although recent work has identified some potential mechanisms for excitatory regulation of cortical gain97,98, several lines of evidence suggest that cortical GABAergic inhibition has a crucial role in regulating the gain of sensory responses5,99,100 (FIG. 1).”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [99]
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An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
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
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
The Organization of Behavior: A Neuropsychological Theory
(1950) · JAMA · doi:10.1001/jama.1950.02910470083028 · Cited by 4,272
Malenka, R. C., & Bear, M. F. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.012 · Cited by 3,968
Visual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,217
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
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- Cardin, 2009, Activation of fast spiking interneurons induces gamma oscillations and shapes sensory transmission, Nature
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Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
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
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483
“Regardless of the mechanism of activation, it is apparent that the state of the cortical network has a profound impact on the response to sensory inputs (Fontanini and Katz, 2008; Haider and McCormick, 2009; Otazu et al., 2009; Poulet and Petersen, 2008).”
Joshi, S., Li, Y., Kalwani, R. M., & Gold, J. I. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.028 · Cited by 1,387
Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420
Metadata
- Authors
- Haider, B., & McCormick, D. A.
- Affiliations
- Yale University (US)
- Corresponding author
- McCormick, David A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 62
- Issue
- 2
- Pages
- 171-189
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3132648
- OpenAlex
- W2067485452
- Cited by
- 441
- References
- 251
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 13 · 2023: 18 · 2022: 19 · 2021: 18 · 2020: 28 · 2019: 27 · 2018: 28 · 2017: 23 · 2016: 32 · 2015: 28 · 2014: 39 · 2013: 32 · 2012: 37
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R37NS026143)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- neocortex, cortical dynamics, functional connectivity, excitatory and inhibitory synapses, neuronal networks, network modulation, sensory perception, working memory, attention, motor integration
- MeSH terms
- Animals, Humans, Membrane Potentials, Models, Neurological, Nerve Net, Neurons, Nonlinear Dynamics, Neocortex, Synaptic Potentials
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