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Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
Open accessAbstract
Neocortical assemblies produce complex activity patterns both in response to sensory stimuli and spontaneously without sensory input. To investigate the structure of these patterns, we recorded from populations of 40-100 neurons in auditory and somatosensory cortices of anesthetized and awake rats using silicon microelectrodes. Population spike time patterns were broadly conserved across multiple sensory stimuli and spontaneous events. Although individual neurons showed timing variations between stimuli, these were not sufficient to disturb a generally conserved sequential organization observed at the population level, lasting for approximately 100 ms with spiking reliability decaying progressively after event onset. Preserved constraints were also seen in population firing rate vectors, with vectors evoked by individual stimuli occupying subspaces of a larger but still constrained space outlined by the set of spontaneous events. These results suggest that population spike patterns are drawn from a limited "vocabulary," sampled widely by spontaneous events but more narrowly by sensory responses.
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“A growing body of experimental evidence suggests that the patterns of neuronal interactions that are relevant for consciousness must not only be tightly integrated through feedforward and feedback connections but must also be differentiated and information rich.32,168,169”
From An integrative, multiscale view on neural theories of consciousness (2024) · cites this paper as [168]
Experimental — accuracy not yet measuredIn the citing paper
“However, spontaneous activity is not random and is determined by the operation of similar or the same neural circuits involved in sensory responses”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Luczak et al., 2009
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Hapeman, D. E., & Agresti, A. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,407
(1961) · Information and Control · doi:10.1016/s0019-9958(61)80064-8 · Cited by 2,904
Multivariate Density Estimation, Theory, Practice, and Visualbation
Ramsay, P. H. (1993) · Technometrics · doi:10.1080/00401706.1993.10485361 · Cited by 2,843
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903
Weak pairwise correlations imply strongly correlated network states in a neural population
Schneidman, E., Berry, M. J., Segev, R., & Bialek, W. (2006) · Nature · doi:10.1038/nature04701 · Cited by 1,745
Coordinated memory replay in the visual cortex and hippocampus during sleep
Ji, D., & Wilson, M. A. (2007) · Nature Neuroscience · doi:10.1038/nn1825 · Cited by 1,669
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
Highly nonrandom features of synaptic connectivity in local cortical circuits
Song, S., Sjöström, P. J., Reigl, M., Nelson, S., & Chklovskii, D. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030068 · Cited by 1,512
Is neocortex essentially multisensory?
GHAZANFAR, A., & SCHROEDER, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.04.008 · Cited by 1,463
Modulation of Neuronal Interactions Through Neuronal Synchronization
Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P. (2007) · Science · doi:10.1126/science.1139597 · Cited by 1,367
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Metadata
- Authors
- Luczak, A., Barthó, P., & Harris, K. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Harris, Kenneth D.
- ORCID
- Luczak, Artur
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 62
- Issue
- 3
- Pages
- 413-425
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC2696272
- OpenAlex
- W2150240029
- Cited by
- 593
- References
- 78
- Citations by year
- 2026: 19 · 2025: 25 · 2024: 37 · 2023: 28 · 2022: 28 · 2021: 42 · 2020: 34 · 2019: 61 · 2018: 39 · 2017: 54 · 2016: 46 · 2015: 46 · 2014: 27 · 2013: 36 · 2012: 24
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute of Mental Health (MH073245, R01MH073245)
- National Institute on Deafness and Other Communication Disorders (DC009947, R01DC009947)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spontaneous neuronal activity, auditory cortex, somatosensory cortex, sensory evoked potentials, population coding
- MeSH terms
- Acoustic Stimulation, Action Potentials, Animals, Auditory Cortex, Cortical Synchronization, Evoked Potentials, Auditory, Nerve Net, Neurons, Perception, Reaction Time, Somatosensory Cortex, Rats, Sprague-Dawley, Rats, Miniature Postsynaptic Potentials
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