Inferring neural connectivity via measured delay in directed information estimates

Nima Soltani, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Directed information between two neural signals has previously been used to successfully determine if there is a synapse connecting one neuron to the other. However, there are situations in which the directed information method leads to false positives for detecting connections due to the influence of a third neuron. We propose a method that accounts for these cases using the delay-profile of the causally-conditioned entropy rate to find a measured delay range and its intersection with a connection-based delay range. Through simulations in NEURON, we show how this method outperforms connectivity inference based on directed information alone.

Original languageEnglish (US)
Title of host publication2013 IEEE International Symposium on Information Theory, ISIT 2013
Pages2503-2507
Number of pages5
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE International Symposium on Information Theory, ISIT 2013 - Istanbul, Turkey
Duration: Jul 7 2013Jul 12 2013

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Other

Other2013 IEEE International Symposium on Information Theory, ISIT 2013
Country/TerritoryTurkey
CityIstanbul
Period7/7/137/12/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Applied Mathematics
  • Modeling and Simulation

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