Identification of functional information subgraphs in cultured neural networks

Description:

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

Creator(s):
Creation Date: July 13, 2009
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 24
Past 30 days: 0
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Creator (Author):
Gintautas, Vadas

Los Alamos National Laboratory

Creator (Author):
Bettencourt, Luis

Los Alamos National Laboratory

Creator (Author):
Ham, Michael I.

University of North Texas

Publisher Info:
Publisher Name: BioMed Central Ltd.
Place of Publication: [London, United Kingdom]
Date(s):
  • Creation: July 13, 2009
Description:

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

Degree:
Note:

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.

Physical Description:

1 p.

Language(s):
Subject(s):
Keyword(s): neuronal networks | subgraphs | nodes
Source: Eighteenth Annual Computational Neuroscience Meeting: CNS, 2009, Berlin, Germany
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.1186/1471-2202-10-S1-012
  • ARK: ark:/67531/metadc122146
Resource Type: Paper
Format: Text
Rights:
Access: Public
Citation:
Publication Title: BMC Neuroscience
Volume: 10
Issue: Suppl 1
Peer Reviewed: Yes