FIELD: simulation of neural structures.
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 recording impulse neurons, inputs for input signals-impulse flows, internal communication channels from the inputs, individual clusters from part of communication channels in each of recording neurons, which pass the part of input signals; formation of clusters and adjustment of channels number in the clusters is carried out in accordance with the code combinations and structure of periods of partial components of input impulse flows; inertialess summation of all partial impulse flows at the outputs of clusters is performed; obtained signal is converted by liminal excitable elements, which generate single impulses or impulse sequences at exceeding of amplitude of impulse flows of liminal excitable elements which are used as the input signals.
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, 13 dwg, 2 tbl
Title | Year | Author | Number |
---|---|---|---|
NEAR-REAL IMPULSE NEURON | 2015 |
|
RU2598298C2 |
SINGLE-LAYER PERCEPTRON BASED ON SELECTIVE NEURONS | 2015 |
|
RU2597497C2 |
INFORMATION ENCODING METHOD IN PULSED NEURAL NETWORKS | 2019 |
|
RU2748257C2 |
INSTRUMENTAL METHOD OF TRAINING SELECTIVE NEURAL NETWORK WITHOUT MATHEMATICS AND WITHOUT A TEACHER WITH USE OF SELF-ORGANIZATION | 2019 |
|
RU2729878C2 |
NEURON SIMULATION OF REAL NEURON PROPERTIES | 2014 |
|
RU2597495C2 |
EFFECTIVE PERCEPTRON BASED ON MCCULLOCH-PITTS NEURONS USING COMPARATORS | 2019 |
|
RU2729554C1 |
NEURON MODEL BASED ON DENDRITIC COMPUTING | 2021 |
|
RU2777262C1 |
DEVICE FOR MODELING NEURON | 0 |
|
SU1585811A1 |
OPTOELECTRONIC NEURON NETWORK SIMULATOR | 1992 |
|
RU2070334C1 |
NEURON SIMULATOR | 0 |
|
SU1501101A1 |
Authors
Dates
2016-09-10—Published
2015-02-24—Filed