FIELD: neurons simulation.
SUBSTANCE: invention can be used on the neural computers, in the technical systems based on neural networks for pattern recognition, analysis and processing of the images. Device comprises inputs for impulse flows, interconnection links, cluster made of part of the input connection links; cluster is formed from the input connection links depending on the structure of periods and localisation of partial impulse flows at the neuron input, that implements existence for total impulse flow at the output of the cluster ε-almost-periods with maximum sum of amplitudes of all partial impulse flows; impulse flow from the output of the cluster is fed to the adder, which is associated with a liminal excitable element which generates an output impulse sequence or single impulse at exceeding of amplitude of impulse flows at the output of the adder liminal excitable element by the maximum sum; signal from the output of liminal excitable element is used as the output one.
EFFECT: technical result is provision of an opportunity to achieve selective detection of the input objects without using a balance measurement of the input signals, possibility of encoding the input object of a certain type by the channel number or by the number of recording neuron, compression of input information, performance increase, objects recognition reliability increase.
1 cl, 9 dwg, 2 tbl
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Authors
Dates
2016-09-20—Published
2015-02-09—Filed