ML Anthology

Information Theoretic Analysis of Connection Structure from Spike Trains

Satoru Shiono, Satoshi Yamada, Michio Nakashima, Kenji Matsumoto
NeurIPS 1992 pp. 515-522
/neurips/1992/shiono1992neurips-information/

Abstract

We have attempted to use information theoretic quantities for ana(cid:173) lyzing neuronal connection structure from spike trains. Two point mu tual information and its maximum value, channel capacity, be(cid:173) tween a pair of neurons were found to be useful for sensitive de(cid:173) tection of crosscorrelation and for estimation of synaptic strength, respectively. Three point mutual information among three neurons could give their interconnection structure. Therefore, our informa(cid:173) tion theoretic analysis was shown to be a very powerful technique for deducing neuronal connection structure. Some concrete exam(cid:173) ples of its application to simulated spike trains are presented.

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Text

Shiono et al. "Information Theoretic Analysis of Connection Structure from Spike Trains." Neural Information Processing Systems, 1992.

Markdown

[Shiono et al. "Information Theoretic Analysis of Connection Structure from Spike Trains." Neural Information Processing Systems, 1992.](https://mlanthology.org/neurips/1992/shiono1992neurips-information/)

BibTeX

@inproceedings{shiono1992neurips-information,
  title     = {{Information Theoretic Analysis of Connection Structure from Spike Trains}},
  author    = {Shiono, Satoru and Yamada, Satoshi and Nakashima, Michio and Matsumoto, Kenji},
  booktitle = {Neural Information Processing Systems},
  year      = {1992},
  pages     = {515-522},
  url       = {https://mlanthology.org/neurips/1992/shiono1992neurips-information/}
}