Dynamic neural cortical ensembles model

Authors:
A. Reznik;D. Dziuba
Affiliations:
Institute of Mathematical Machines and Systems, NAS of Ukraine, Kyiv, Ukraine;Institute of Mathematical Machines and Systems, NAS of Ukraine, Kyiv, Ukraine
Venue:
Optical Memory and Neural Networks
Year:
2012

Citing 3
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Neural Computation
Dynamic associative memory, based on open recurrent neural network

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

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Abstract

One-layered model of cortical neurons as a set of overlapping ensembles, each with a structure similar to Hopfield network, is proposed. Ensemble equilibrium equation is solved and formulas for connections weights calculation for given set of attractors are obtained. Concept of dynamic attractors that consists of consequent recalling of stored patterns with moving activity through the network is introduced. Role of dynamic attractors in long-term memory is discussed and mechanism for memory recovery after destruction of some neurons is proposed. Results of experiments on associative memory recovery after partial removal of neurons are shown.