FIELD: information technology.
SUBSTANCE: invention relates to simulation of neurons and can be applied to neuro-computers, and technical systems based on neural networks for pattern identification, analysis and processing images. Device comprises inputs for signals from objects, internal communication channels from inputs, cluster that is formed from part of internal communication channels in accordance with code combination of input signal; cluster is connected to adder, after that, nonlinear threshold signal conversion is performed, which is used as output signal.
EFFECT: technical result is provision of capability to achieve selective identification of input objects without using balanced measurement of input signals, capability of encoding input object of certain type by channel number or number of recording neuron, compression of input information, faster operation, higher reliability of object identification.
1 cl, 7 dwg, 1 tbl
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|
RU2269155C2 |
| ARTIFICIAL NEURON (VERSIONS) | 2014 |
|
RU2604331C2 |
| ARTIFICIAL NEURAL NETWORK | 2014 |
|
RU2573766C1 |
