ARTIFICIAL ASSOCIATIVE NEURON SYNAPSE

The invention relates to a method for determining a weight coefficient of an artificial associative neuron synapse, where the synaptic weight coefficient is determined on the basis of the temporal average of a product of two signals. The method comprises the steps of taking temporal samples from the...

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Bibliographic Details
Main Author HAIKONEN, PENTTI
Format Patent
LanguageEnglish
French
German
Published 17.09.2003
Edition7
Subjects
ANALOGUE COMPUTERS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The invention relates to a method for determining a weight coefficient of an artificial associative neuron synapse, where the synaptic weight coefficient is determined on the basis of the temporal average of a product of two signals. The method comprises the steps of taking temporal samples from the product of said two signals at such moments when one of the signals starts to deviate from zero, feeding said samples into such a shift register chain, from where a predetermined number of said samples taken at previous moments are continuously available, deducing on the basis of said samples taken at previous moments, whether a value deviating from zero is to be set as the synaptic weight coefficient. The invention also relates to an artificial associative neuron synapse.
Bibliography:Application Number: EP20010980583