On building a memory evolutive system for application to learning and cognition modeling.

Abstract:

:We address here aspects of the implementation of a memory evolutive system (MES), based on the model proposed by A. Ehresmann and J. Vanbremeersch (2007), by means of a simulated network of spiking neurons with time dependent plasticity. We point out the advantages and challenges of applying category theory for the representation of cognition, by using the MES architecture. Then we discuss the issues concerning the minimum requirements that an artificial neural network (ANN) should fulfill in order that it would be capable of expressing the categories and mappings between them, underlying the MES. We conclude that a pulsed ANN based on Izhikevich's formal neuron with STDP (spike time-dependent plasticity) has sufficient dynamical properties to achieve these requirements, provided it can cope with the topological requirements. Finally, we present some perspectives of future research concerning the proposed ANN topology.

journal_name

Adv Exp Med Biol

authors

de Lima do Rego Monteiro J,Kogler JE,Ribeiro JH,Netto ML

doi

10.1007/978-0-387-79100-5_2

subject

Has Abstract

pub_date

2010-01-01 00:00:00

pages

19-39

eissn

0065-2598

issn

2214-8019

journal_volume

657

pub_type

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