Membrane potential and spike train statistics depend distinctly on input statistics
Abstract
A description of how the activity of a population of neurons reflects the structure of its inputs is essential for understanding neural coding. Many studies have examined how inputs determine spiking statistics, while comparatively little is known about membrane potentials. We examine how membrane potential statistics are related to input and spiking statistics. Surprisingly, firing rates and membrane potentials are sensitive to input current modulations in distinct regimes. Additionally, the correlation between the membrane potentials of two uncoupled cells and the correlation between their spike trains reflect input correlations in distinct regimes. Our predictions are experimentally testable, provide insight into the filtering properties of neurons, and indicate that care needs to be taken when interpreting neuronal recordings that reflect a combination of subthreshold and spiking activity.
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Synaptic fluctuations decrease pairwise correlations in output from neurons with shared inputs.
“In addition to regulating gain at the level of individual cells, synaptic fluctuations also decrease pairwise correlations in output from neurons with shared inputs85–88.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [86]
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Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works
- Authors
- Rosenbaum, R., & Josić, K.
- Affiliations
- University of Houston (US)
- ORCID
- Rosenbaum, Robert
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2011-11-04
- Volume
- 84
- Issue
- 5
- Pages
- 051902-051902
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W2315333471
- Cited by
- 5
- References
- 35
- Citations by year
- 2020: 1 · 2014: 1 · 2013: 2
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Physical Review E (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spike train statistics, input statistics, input correlation, neural coding, firing rate, subthreshold activity
- MeSH terms
- Action Potentials, Models, Neurological, Neurons, Time Factors, Electrophysiological Phenomena
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