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In-vivo neuron modeling method based on neuromorphology

A neuron and morphological technology, applied in the field of in vivo neuron modeling based on neuromorphology, can solve the problem of ignoring the morphological characteristics of neuron dendrites, and achieve the effect of improving the simulation speed

Active Publication Date: 2019-11-19
TIANJIN UNIV
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Problems solved by technology

[0003] At present, researchers have established a variety of neuron models, such as the Hodgkin-Huxley model, Izhikevich model, and FitzHugh-Nagumo model, etc. These models have solved many scientific problems to a certain extent, but they all ignore the neuron dendrites. There are certain disadvantages in the application of this kind of neuron model in the process of studying the role of neurons in information integration. Therefore, it is of great significance to study an in vivo neuron model based on neuromorphology.

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[0021] The technical solutions of the present invention will be clearly and completely described and illustrated below in conjunction with the embodiments and the accompanying drawings, but this is not intended to limit the scope of protection of the present application.

[0022] A method for modeling neurons in vivo based on neuromorphology (such as Figure 1-3 shown), the steps of this method are:

[0023] The first step is to construct a dendritic single-compartment model

[0024] The dendrites of neurons are divided into N nodes, that is, the dendrites are regarded as a cascade system connected by N nodes, and each node is further divided into X i Simplified to a single-compartment linear-nonlinear system (X 1 、X 2 ,...,X N ), in the single-compartment linear-nonlinear system, the synaptic input signal is sequentially filtered, linearly superimposed and nonlinearly transformed, in which the filtering threshold is set in the filtering process, and the weight distributio...

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Abstract

The invention relates to an in-vivo neuron modeling method based on neuromorphology. The in-vivo neuron modeling method comprises the following steps: step 1, constructing a dendritic single compartment model; step 2, constructing a multi-chamber cascade model; according to the specific morphological characteristics of the neuron dendrites; connecting single-chamber linear-nonlinear systems corresponding to N nodes according to a connection mode of the corresponding nodes by using a multi-chamber cascade model including a dendritic distribution region, a branch number and a topological structure, and establishing a multi-chamber cascade model for keeping original morphological characteristics of neuron dendrites to simulate characteristics of complete dendrites of neurons; step 3, fittingthe parameters of the in-vivo neuron model.

Description

technical field [0001] The invention relates to the field of neuron modeling, in particular to an in vivo neuron modeling method based on neuromorphology. Background technique [0002] The brain contains a large number of neurons, which are interconnected and play a very important role in the process of information processing and transmission. Neurons can receive information and output information through discharge. And neurons are rich in types, and all have complex morphological and structural characteristics. Neurons mainly include four parts: dendrites, cell bodies, axons, and cell membranes. Dendrites, as the entrance for neurons to receive input information, have complex morphological structures. They can simultaneously receive a large number of synaptic inputs from other neurons. After full integration, the integrated signal is transmitted to the cell body, thereby generating neuronal firing. Dendrites can integrate synaptic input signals in different time and space...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/06
CPCG06N3/061
Inventor 于海涛孟紫寒王江邓斌魏熙乐刘晨
Owner TIANJIN UNIV
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