A biologically plausible winner-takes-all architecture

Authors:
Sebastian Handrich;Andreas Herzog;Andreas Wolf;Christoph S. Herrmann
Affiliations:
Otto-von-Guericke-University Magdeburg, Institute for Psychology II, Department for Biological Psychology, Magdeburg, Germany;Otto-von-Guericke-University Magdeburg, Institute for Psychology II, Department for Biological Psychology, Magdeburg, Germany;Otto-von-Guericke-University Magdeburg, Institute for Psychology II, Department for Biological Psychology, Magdeburg, Germany;Otto-von-Guericke-University Magdeburg, Institute for Psychology II, Department for Biological Psychology, Magdeburg, Germany
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 11
Cited 0

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Simple model of spiking neurons

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Dynamics of Winner-Take-All Competition in Recurrent Neural Networks With Lateral Inhibition

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Abstract

Winner-takes-all (WTA) is an important mechanism in artificial and biological neural networks. We present a biologically plausible two layer WTA architecture with biologically plausible spiking neuron model and conductance based synapses. The excitatory neurons in the WTA layer receive spiking signals from an input layer and can inhibit other excitatory WTA neurons via related inhibitory neurons. The connections from the input layer to WTA layer can be trained by Spike-Time-Dependent Plasticity to discriminate between different classes of input patters. The overall input of the WTA neurons are controlled by synaptic scaling.