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Entropy and information in neural spike trains: Progress on the sampling problem
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“The information-theoretic neuroscience literature has long recognized the importance of correcting for the limited-sampling bias and has provided effective tools for correcting the Shannon information sampling bias.24,25,26,27,28”
From Sampling bias corrections for discrete and Gaussian partial information decompositions (2026) · cites this paper as [26]
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“Earlier applications of information theory to neuroscience have recognized that Shannon information measures from neural activity suffer from a prominent limited-sampling bias.24,25,26”
From Sampling bias corrections for discrete and Gaussian partial information decompositions (2026) · cites this paper as [26]
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Research works printed but not linked: 31
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Paninski, L. (2003) · Neural Computation · doi:10.1162/089976603321780272 · Cited by 1,442
Equitability, mutual information, and the maximal information coefficient
Kinney, J. B., & Atwal, G. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1309933111 · Cited by 667
Psychological entropy: a framework for understanding uncertainty-related anxiety
Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012) · Psychological Review · doi:10.1037/a0026767 · Cited by 606
Breakdown of local information processing may underlie isoflurane anesthesia effects
Wollstadt, P., Sellers, K. K., Rudelt, L., Priesemann, V., Hutt, A., Fröhlich, F., & Wibral, M. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005511 · Cited by 49
Sampling bias corrections for discrete and Gaussian partial information decompositions
Lorenz, G. M., Engel, N. M., Koçillari, L., Celotto, M., Orsenigo, D., Curreli, S., Malerba, S. B., Engel, A. K., Kayser, C., Fellin, T., et al. (2026) · Patterns · doi:10.1016/j.patter.2026.101619 · Cited by 9
Metadata
- Authors
- Nemenman, I., Bialek, W., & de Ruyter van Steveninck, R.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2004-05-24
- Volume
- 69
- Issue
- 5
- ISSN
- 1539-3755
- 1550-2376
- Cited by
- 196
- References
- 0
- Language
- en
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- Nemenman, I., Bialek, W., & de Ruyter van Steveninck, R. (2004). Entropy and information in neural spike trains: Progress on the sampling problem. Physical Review E. https://doi.org/10.1103/physreve.69.056111
