Cortical state determines global variability and correlations in visual cortex
Open accessAbstract
The response of neurons in sensory cortex to repeated stimulus presentations is highly variable. To investigate the nature of this variability, we compared the spike activity of neurons in the primary visual cortex (V1) of cats with that of their afferents from lateral geniculate nucleus (LGN), in response to similar stimuli. We found variability to be much higher in V1 than in LGN. To investigate the sources of the additional variability, we measured the spiking activity of large V1 populations and found that much of the variability was shared across neurons: the variable portion of the responses of one neuron could be well predicted from the summed activity of the rest of the neurons. Variability thus mostly reflected global fluctuations affecting all neurons. The size and prevalence of these fluctuations, both in responses to stimuli and in ongoing activity, depended on cortical state, being larger in synchronized states than in more desynchronized states. Contrary to previous reports, these fluctuations invested the overall population, regardless of preferred orientation. The global fluctuations substantially increased variability in single neurons and correlations among pairs of neurons. Once this effect was removed, pairwise correlations were reduced and were similar regardless of cortical state. These results highlight the importance of cortical state in controlling cortical operation and can help reconcile previous studies, which differed widely in their estimate of neuronal variability and pairwise correlations.
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State variations affect sensory evoked neural activity as much as variations in the sensory stimulus itself.
“These variations in state exert an effect on sensory evoked neural activity that can be as significant as variations in the sensory stimulus itself”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Scholvinck et al., 2015
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- Authors
- Schölvinck, M. L., Saleem, A. B., Benucci, A., Harris, K. D., & Carandini, M.
- Affiliations
- University College London (GB)
- UCL Queen Square Institute of Neurology (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-01-07
- Volume
- 35
- Issue
- 1
- Pages
- 170-178
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4287140
- OpenAlex
- W1969233644
- Cited by
- 198
- References
- 61
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 13 · 2023: 10 · 2022: 12 · 2021: 16 · 2020: 21 · 2019: 21 · 2018: 26 · 2017: 27 · 2016: 28 · 2015: 16
- FWCI
- 19.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- GlaxoSmithKline
- Wellcome Trust (095668, 095669)
- Engineering and Physical Sciences Research Council (EP/I005102/1, EP/I005102/2, EP/K015141/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- neural variability, cortical state, primary visual cortex, lateral geniculate nucleus, spike train correlations, global fluctuations, cortical synchronization, population coding, crystallographic texture
- MeSH terms
- Animals, Cats, Female, Nerve Net, Photic Stimulation, Random Allocation, Visual Cortex, Visual Pathways
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