The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Partitioning neuronal variability
Open accessAbstract
Responses of sensory neurons differ across repeated measurements. This variability is usually treated as stochasticity arising within neurons or neural circuits. However, some portion of the variability arises from fluctuations in excitability due to factors that are not purely sensory, such as arousal, attention and adaptation. To isolate these fluctuations, we developed a model in which spikes are generated by a Poisson process whose rate is the product of a drive that is sensory in origin and a gain summarizing stimulus-independent modulatory influences on excitability. This model provides an accurate account of response distributions of visual neurons in macaque lateral geniculate nucleus and cortical areas V1, V2 and MT, revealing that variability originates in large part from excitability fluctuations that are correlated over time and between neurons, and that increase in strength along the visual pathway. The model provides a parsimonious explanation for observed systematic dependencies of response variability and covariability on firing rate.
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“Many non-sensory factors affect sensory processing, including behavioral state, motor activity and cross-modal influences (Gur et al., 1997), and their effects may collectively promote response variability (Ecker and Tolias, 2014; Goris et al., 2014; I-Chun et al., 2015).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Goris et al., 2014
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Self-citationReliability of spike timing in neocortical neurons
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Spatio-temporal correlations and visual signalling in a complete neuronal population
Pillow, J. W., Shlens, J., Paninski, L., Sher, A., Litke, A. M., Chichilnisky, E. J., & Simoncelli, E. P. (2008) · Nature · doi:10.1038/nature07140 · Cited by 1,332
Self-citationCorrelated neuronal discharge rate and its implications for psychophysical performance
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Attention improves performance primarily by reducing interneuronal correlations
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Stimulus onset quenches neural variability: A widespread cortical phenomenon
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Spontaneous behaviors drive multidimensional, brainwide activity
Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., & Harris, K. D. (2019) · Science · doi:10.1126/science.aav7893 · Cited by 1,510
A hierarchy of intrinsic timescales across primate cortex
Murray, J. D., Bernacchia, A., Freedman, D. J., Romo, R., Wallis, J. D., Cai, X., Padoa-Schioppa, C., Pasternak, T., Seo, H., Lee, D., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3862 · Cited by 990
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“…significant changes in sensory-motor processing and behavioral performance (Buzsaki, 2006; Cohen and Maunsell, 2010, 2011; Gervasoni et al., 2004; Goris et al., 2014; I-Chun et al., 2015; McGinley et al., 2015; Niell and Stryker, 2010; Polack et al., 2013; Poulet and Petersen, 2008; Reimer et…”
InfluentialCortical membrane potential signature of optimal states for sensory signal detection
McGinley, M. J., David, S. V., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.038 · Cited by 728
High-dimensional geometry of population responses in visual cortex
Stringer, C., Pachitariu, M., Steinmetz, N. A., Carandini, M., & Harris, K. D. (2019) · Nature · doi:10.1038/s41586-019-1346-5 · Cited by 640
Metadata
- Authors
- Goris, R. L. T., Movshon, J. A., & Simoncelli, E. P.
- Affiliations
- New York University (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Simoncelli, Eero P
- Venue
- Nature Neuroscience
- Published
- 2014-04-28
- Volume
- 17
- Issue
- 6
- Pages
- 858-865
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4135707
- OpenAlex
- W2035849979
- Cited by
- 528
- References
- 49
- Citations by year
- 2026: 54 · 2025: 41 · 2024: 43 · 2023: 30 · 2022: 31 · 2021: 32 · 2020: 39 · 2019: 61 · 2018: 48 · 2017: 49 · 2016: 50 · 2015: 42 · 2014: 8
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- Belgian American Educational Foundation
- Vlaamse regering
- National Institutes of Health
- National Eye Institute (R37EY004440, EY022428, EY04440, R01EY004440, R01EY022428)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- neural variability, action potential generation, sensory drive, Poisson process, gain modulation, lateral geniculate nucleus, primary visual cortex, visual pathway, firing rate, macaque
- MeSH terms
- Action Potentials, Animals, Female, Macaca fascicularis, Macaca mulatta, Macaca nemestrina, Male, Neurons, Photic Stimulation, Visual Cortex, Visual Pathways
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