A game theoretic model of neurocomputation

Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman

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

Abstract

Within brains, complex dynamic neural interactions are an aggregate of excitatory and inhibitory neural firings. This research considers some key neuron operating properties and functionality to analyze the dynamics through which neurons interact and are responsive together. Frameworks have often been developed as simplifications (e.g. Ising, sandpile, Björner), but still provide an elegant framework for modeling complex interactions. Also, petri nets serve as a rich mathematical framework for describing distributed systems. Building on this research, we present a game theoretic neural chip-firing model that is based on spreading activation of neurotransmitters capable of representing aspects of neural activity.

Original languageEnglish (US)
Title of host publicationBiologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, BICA 2012
PublisherSpringer-Verlag
Pages373-374
Number of pages2
ISBN (Print)9783642342738
DOIs
StatePublished - 2013
Externally publishedYes
Event5th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2012 - Palermo, Italy
Duration: Oct 31 2012Nov 3 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume196 AISC
ISSN (Print)2194-5357

Conference

Conference5th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2012
Country/TerritoryItaly
CityPalermo
Period10/31/1211/3/12

Keywords

  • Neuron modeling
  • chipfiring game
  • game theory
  • neurocomputation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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