Towards a biologically-inspired model for relational mapping using spiking neurons

Paul Biancaniello, John Darvill, Nick Hinnerschitz, John Hummel, Stefan Mihalas

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

Abstract

Relational mapping, a cognitive sub-process of relational reasoning, plays a critical role in identifying similarities between abstract constructs. This paper discusses an initial endeavor in developing a biologically-inspired spiking neuron model that performs relational mapping in a similar functional manner to existing cognitive models founded in neuroscience. Using spiking neurons provides a capability to portray neural dynamics that naturally lead to notions of critical relational mapping sub-functions such as binding by synchrony. The model, although still in progress, is a step in the direction of progressing cognitive concepts down to an individual spiking neuron level.

Original languageEnglish (US)
Title of host publicationBiologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society
PublisherIOS Press
Pages38-43
Number of pages6
ISBN (Print)9781607509585
DOIs
StatePublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume233
ISSN (Print)0922-6389

Keywords

  • relational reasoning
  • simulation
  • spiking neuron

ASJC Scopus subject areas

  • Artificial Intelligence

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