RU2014144724A - Dynamic neuron modeling the properties of a real neuron - Google Patents

Dynamic neuron modeling the properties of a real neuron Download PDF

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Publication number
RU2014144724A
RU2014144724A RU2014144724A RU2014144724A RU2014144724A RU 2014144724 A RU2014144724 A RU 2014144724A RU 2014144724 A RU2014144724 A RU 2014144724A RU 2014144724 A RU2014144724 A RU 2014144724A RU 2014144724 A RU2014144724 A RU 2014144724A
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neuron
properties
communication channels
dynamic
real
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RU2014144724A
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Russian (ru)
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RU2597495C2 (en
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Михаил Ефимович Мазуров
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Михаил Ефимович Мазуров
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Abstract

Динамический нейрон, включающий входы для сигналов от объектов, внутренние каналы связи от входов до перемножителей, осуществляющих умножение входных сигналов на весовые коэффициенты и их передачу на сумматор, связанный с пороговым устройством; отличающийся кластером каналов связи вместо перемножителей на весовые коэффициенты, сформированным из части входных каналов связи в соответствии со свойствами входных сигналов и соединенным с сумматором, связанным с пороговым устройством.A dynamic neuron, including inputs for signals from objects, internal communication channels from inputs to multipliers, multiplying the input signals by weights and transmitting them to an adder connected to a threshold device; characterized by a cluster of communication channels instead of weight multipliers, formed from a part of the input communication channels in accordance with the properties of the input signals and connected to an adder connected to a threshold device.

Claims (1)

Динамический нейрон, включающий входы для сигналов от объектов, внутренние каналы связи от входов до перемножителей, осуществляющих умножение входных сигналов на весовые коэффициенты и их передачу на сумматор, связанный с пороговым устройством; отличающийся кластером каналов связи вместо перемножителей на весовые коэффициенты, сформированным из части входных каналов связи в соответствии со свойствами входных сигналов и соединенным с сумматором, связанным с пороговым устройством. A dynamic neuron, including inputs for signals from objects, internal communication channels from inputs to multipliers, multiplying the input signals by weights and transmitting them to an adder connected to a threshold device; characterized by a cluster of communication channels instead of weight multipliers, formed from a part of the input communication channels in accordance with the properties of the input signals and connected to an adder connected to a threshold device.
RU2014144724/08A 2014-11-07 2014-11-07 Neuron simulation of real neuron properties RU2597495C2 (en)

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RU2014144724/08A RU2597495C2 (en) 2014-11-07 2014-11-07 Neuron simulation of real neuron properties

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RU2014144724/08A RU2597495C2 (en) 2014-11-07 2014-11-07 Neuron simulation of real neuron properties

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RU2014144724A true RU2014144724A (en) 2016-05-27
RU2597495C2 RU2597495C2 (en) 2016-09-10

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RU2729554C1 (en) * 2019-06-19 2020-08-07 Михаил Ефимович Мазуров Effective perceptron based on mcculloch-pitts neurons using comparators

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* Cited by examiner, † Cited by third party
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RU2034332C1 (en) * 1992-12-11 1995-04-30 Вадим Владимирович Борисов Neuron model
RU2269155C2 (en) * 2003-08-22 2006-01-27 Евгений Александрович Самойлин Neuron model, realizing logical nonequivalence function
US9412064B2 (en) * 2011-08-17 2016-08-09 Qualcomm Technologies Inc. Event-based communication in spiking neuron networks communicating a neural activity payload with an efficacy update
US9275326B2 (en) * 2012-11-30 2016-03-01 Brain Corporation Rate stabilization through plasticity in spiking neuron network

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Effective date: 20171108