Hardware circuit of time-delay coupling neuron model

Abstract

The invention relates to a hardware circuit of a time-delay coupling neuron model, and belongs to the field of neuron circuits. The circuit comprises a first neuron model circuit and a second neuron model circuit. The first neuron model circuit comprises a first neuron main circuit, a first time-delay coupling circuit, a steady-state value calculation circuit of a first calcium ion channel opening probability, a steady-state value calculation circuit of a first potassium ion channel opening probability and a first activation time constant circuit; the second neuron model circuit comprises a second neuron main circuit, a second time-delay coupling circuit, a steady-state value calculation circuit of a second calcium ion channel opening probability, a steady-state value calculation circuit of a second potassium ion channel opening probability and a second activation time constant circuit; the second input end of the first time-delay coupling circuit is connected with the output end of the second neuron main circuit; the second input end of the second time-delay coupling circuit is connected with the output end of the first neuron main circuit. According to the invention, the range of biological neural network characteristic research is expanded.

Description

technical field [0001] The invention relates to the field of neuron circuits, in particular to a hardware circuit of a time-delay coupled neuron model. Background technique [0002] In the human brain, hundreds of millions of neurons are coupled with each other to form a complex biological neural network. Generally, the characteristics of biological neural network are studied by establishing artificial neurons and neural network models. Studying a single neuron model has certain limitations for the study of biological neural network characteristics, and a large-scale neural network model needs to occupy a huge amount of computing resources. [0003] Many neurological disorders, such as Parkinson's disease and epilepsy, are caused by abnormally synchronized firing of certain brain regions. Therefore, it is particularly important to study the synchronization of coupled neurons. However, the existing circuits involving the Morris-Lecar neuron model (ML neuron model) are most...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a hardware circuit of a time-delay coupling neuron model, to solve the problem in the prior art that the study of biological neural network characteristics using a single neuron model circuit has limitations

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