Emergence of rules in cell assemblies of fLIF neurons.
Belavkin, Roman V. and Huyck, Christian R. (2008) Emergence of rules in cell assemblies of fLIF neurons. In: The 18th European Conference on Artificial Intelligence, 21st-25th July 2008, University of Patras, Greece.
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.
|Item Type:||Conference or Workshop Item (Paper)|
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Depositing User:||Dr Roman Belavkin|
|Date Deposited:||24 Mar 2010 10:10|
|Last Modified:||13 Oct 2016 14:16|
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