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Stimulus onset quenches neural variability: a widespread cortical phenomenon
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Neural responses are typically characterized by computing the mean firing rate, but response variability can exist across trials. Many studies have examined the effect of a stimulus on the mean response, but few have examined the effect on response variability. We measured neural variability in 13 extracellularly recorded datasets and one intracellularly recorded dataset from seven areas spanning the four cortical lobes in monkeys and cats. In every case, stimulus onset caused a decline in neural variability. This occurred even when the stimulus produced little change in mean firing rate. The variability decline was observed in membrane potential recordings, in the spiking of individual neurons and in correlated spiking variability measured with implanted 96-electrode arrays. The variability decline was observed for all stimuli tested, regardless of whether the animal was awake, behaving or anaesthetized. This widespread variability decline suggests a rather general property of cortex, that its state is stabilized by an input.
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“Decline of spiking variability at sensory onset is a known universal cortical phenomenon assigned to stabilization of a network state (45).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [45]
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Metadata
- Authors
- Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., Bradley, D. C., Smith, M. A., Kohn, A., Movshon, J. A., Armstrong, K. M., Moore, T., Chang, S. W., Snyder, L. H., Lisberger, S. G., Priebe, N. J., Finn, I. M., Ferster, D., Ryu, S. I., Santhanam, G., Sahani, M., & Shenoy, K. V.
- Affiliations
- Stanford Medicine (US)
- Stanford University (US)
- Howard Hughes Medical Institute (US)
- University of Chicago (US)
- University of Pittsburgh (US)
- Albert Einstein College of Medicine (US)
- New York University (US)
- Washington University in St. Louis (US)
- The University of Texas at Austin (US)
- Northwestern University (US)
- Gatsby Computational Neuroscience Unit (GB)
- Corresponding author
- Churchland, Mark M
- ORCID
- Churchland, Mark M
- Yu, Byron M
- Cunningham, John P
- Sugrue, Leo P
- Cohen, Marlene R
- Corrado, Greg S
- Newsome, William T
- Clark, Andrew M
- Scott, Benjamin B
- Smith, Matthew A
- Kohn, Adam
- Movshon, J Anthony
- Moore, Tirin
- Chang, Steve W
- Snyder, Lawrence H
- Lisberger, Stephen G
- Priebe, Nicholas J
- Ryu, Stephen I
- Sahani, Maneesh
- Shenoy, Krishna V
- Venue
- Nature Neuroscience
- Published
- 2010-02-21
- Volume
- 13
- Issue
- 3
- Pages
- 369-378
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC2828350
- OpenAlex
- W2105380935
- Cited by
- 1,084
- References
- 62
- Citations by year
- 2026: 53 · 2025: 74 · 2024: 74 · 2023: 64 · 2022: 55 · 2021: 86 · 2020: 62 · 2019: 94 · 2018: 54 · 2017: 80 · 2016: 83 · 2015: 69 · 2014: 61 · 2013: 65 · 2012: 52
- FWCI
- 33.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (DP1OD006409)
- National Eye Institute (EY 05603, R37EY004440, 1 EY13138-01, R00EY018894, R01EY016774, R01EY003878, EY014924, EY018894, K99EY018894, R01EY002017, EY015958, EY04440, R01EY014924, R01EY013138, R01EY019288, EY-016774, R37EY005603, R01EY004440, F32EY015958, R01EY005603, R56EY014924, EY019288, EY 02017, R01EY004726, R01EY012135)
- National Institute of Neurological Disorders and Stroke (R01NS054283)
- 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 › Memory and Neural Mechanisms
- Keywords
- neural response variability, stimulus onset, neuronal firing rate, extracellular recording, intracellular recording, membrane potential, monkeys, cats, anesthetized animals
- MeSH terms
- Action Potentials, Anesthesia, Animals, Cats, Cerebral Cortex, Electrodes, Implanted, Factor Analysis, Statistical, Macaca fascicularis, Macaca mulatta, Macaca nemestrina, Membrane Potentials, Microelectrodes, Motor Activity, Neurons, Neuropsychological Tests, Time Factors, Video Recording, Visual Perception, Wakefulness, Databases, Factual
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