Identification of functional information subgraphs in cultured neural networks

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This paper accompanies an oral presentation on the identification of functional information subgraphs in cultured neural networks.

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1 p.

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Gintautas, Vadas; Bettencourt, Luis & Ham, Michael I. July 13, 2009.

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This paper accompanies an oral presentation on the identification of functional information subgraphs in cultured neural networks.

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1 p.

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Abstract: We present a general information theoretic approach for identifying functional subgraphs in complex neuronal networks where the spiking dynamics of a subset of nodes (neurons) are observable. We show that the uncertainty in the state of each node can be written as a sum of information quantities involving a growing number of variables at other nodes. We demonstrate that each term in this sum is generated by successively conditioning mutual information on new measured variables, in a way analogous to a discrete differential calculus.

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  • Eighteenth Annual Computational Neuroscience Meeting: CNS, 2009, Berlin, Germany

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  • Publication Title: BMC Neuroscience
  • Volume: 10
  • Issue: Suppl 1
  • Peer Reviewed: Yes

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UNT Scholarly Works

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  • July 13, 2009

Added to The UNT Digital Library

  • Nov. 30, 2012, 9:15 a.m.

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  • April 2, 2014, 2:47 p.m.

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Gintautas, Vadas; Bettencourt, Luis & Ham, Michael I. Identification of functional information subgraphs in cultured neural networks, paper, July 13, 2009; [London, United Kingdom]. (digital.library.unt.edu/ark:/67531/metadc122146/: accessed June 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.