Bio-plausible model of electronic memristive neuron

There were several models of biological neuron developed so far for different purposes, starting from famous McCulloch and Pitts that is currently widely used in artificial intelligence applications, Izhikevich and Hodgkin-Huxley models. The interest to new models of biological neuron is increased b

Функциональные полимерные контейнеры для лекарственных препаратов: рентгеновская микроскопия с использованием когерентного синхротронного излучения

The memristive artificial neuron high level architecture for biologically inspired robotic systems

In this paper we propose a new hardware architecture for the implementation of an artificial neuron based on organic memristive elements and operational amplifiers. This architecture is proposed as a possible solution for the integration and deployment of the cluster.

Modeling inhibitory and excitatory synapse learning in the memristive neuron model

In this paper we present the results of simulation of exitatory Hebbian and inhibitory "sombrero" learning of a hardware architecture based on organic memristive elements and operational amplifiers implementing an artificial neuron we recently proposed.

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