The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Effect of Correlated Variability on the Accuracy of a Population Code
Abstract
We study the impact of correlated neuronal firing rate variability on the accuracy with which an encoded quantity can be extracted from a population of neurons. Contrary to widespread belief, correlations in the variabilities of neuronal firing rates do not, in general, limit the increase in coding accuracy provided by using large populations of encoding neurons. Furthermore, in some cases, but not all, correlations improve the accuracy of a population code.
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Citations
Cites
Correlated neuronal discharge rate and its implications for psychophysical performance
Zohary, E., Shadlen, M. N., & Newsome, W. T. (1994) · Nature · doi:10.1038/370140a0 · Cited by 1,237
Cited by
Neural correlations, population coding and computation
Averbeck, B. B., Latham, P. E., & Pouget, A. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1888 · Cited by 1,743
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
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
“…experimentally varies widely (e.g. (Ecker et al., 2010; Zohary et al., 1994)) and their impact on the encoding accuracy of a neuronal population is an active field of theoretical research (e.g. (Abbott and Dayan, 1999; Ecker et al., 2011; Moreno-Bote et al., 2014; Sompolinsky et al., 2001)).”
Why neurons mix: high dimensionality for higher cognition
Fusi, S., Miller, E. K., & Rigotti, M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.01.010 · Cited by 766
Hippocampal–prefrontal input supports spatial encoding in working memory
Spellman, T., Rigotti, M., Ahmari, S. E., Fusi, S., Gogos, J. A., & Gordon, J. A. (2015) · Nature · doi:10.1038/nature14445 · Cited by 693
Metadata
- Authors
- Abbott, L. F., & Dayan, P.
- Venue
- Neural Computation
- Publisher
- MIT Press
- Published
- 1999-01-01
- Volume
- 11
- Issue
- 1
- Pages
- 91-101
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2157154487
- Cited by
- 823
- References
- 1
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
