Emergence of Rules in Cell Assemblies of fLIF Neurons

Authors:
Roman V. Belavkin;Christian R. Huyck
Affiliations:
-;Middlesex University, London NW4 4BT, UK
Venue:
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Year:
2008

Citing 2
Cited 2

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Abstract

Inspired by biological cognition, CABOT project explores the ways symbolic processing can emerge in a system of neural cell assemblies (CAs). Here we show how a stochastic meta--control process can regulate learning of associations between the CAs, the neural basis of symbols. An experiment illustrates the learning between CAs representing conditions actions pairs, which leads to CA--based representations of 'if--then' rules.