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A spatio-temporal network construction method for multi-electrode array neuron firing sequences

A multi-electrode array, spatiotemporal network technology, applied in the field of complex neuron networks, can solve problems such as the inability of static spatial networks to represent the time dimension, the complex instantaneous characteristics of neuron networks, and the lack of consideration of information transfer characteristics of neuron clusters.

Inactive Publication Date: 2021-04-20
TIANJIN UNIV
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Problems solved by technology

Although the method of constructing a static network of nerve cell electrical signals using a multi-electrode array as a sensor is relatively mature, due to the rapidly changing characteristics of neurons, the neuron network has complex instantaneous characteristics, and the static space network is difficult to express the characteristics of the time dimension. , and does not consider the information transfer characteristics of neuron clusters in continuous time

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  • A spatio-temporal network construction method for multi-electrode array neuron firing sequences
  • A spatio-temporal network construction method for multi-electrode array neuron firing sequences
  • A spatio-temporal network construction method for multi-electrode array neuron firing sequences

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Embodiment Construction

[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] The spatio-temporal network construction method of multi-electrode array neuron discharge sequence of the present invention, the steps of the method (such as figure 1 shown) include:

[0023] 1) Divide the time window: set the width t of the time window, and continuously divide the multi-neuron discharge time series recorded by the multi-electrode array;

[0024] 2) Construct a spatio-temporal network: each neuron X is regarded as a network node, and a spatio-temporal network of all neurons is constructed according to the correlation of neuron discharges in the same time window and the correlation of neuron discharges in adjacent time windows;

[0025] 3) Network feature analysis: Extract the structu...

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Abstract

The invention relates to a method for constructing a spatiotemporal network of a multi-electrode array neuron discharge sequence, comprising the following steps: a first step, dividing a time window for each neuron discharge time sequence; a second step, constructing a spatiotemporal network; and a third step, a network Feature analysis: The structural parameters of the multi-neuron spatio-temporal network, including the number of connected neurons D in each time window, the number of interconnected neuron clusters M, the time length of cluster connection existence T, and the width of cluster connection existence W.

Description

technical field [0001] The invention relates to the field of complex neuron networks, in particular to a space-time network construction method for multi-electrode array neuron discharge sequences. Background technique [0002] The brain contains a large number of neurons, which are interconnected to form an extremely complex network of neurons, which conduct and process nerve impulse signals rapidly. The brain's response to external events and every process of information processing requires the joint action of many neurons. To reveal the complex mechanism of the brain's information processing, it is necessary to obtain a sufficient number of neuron electrical activity information. In recent years, the emergence and development of multi-electrode array technology has provided very convenient conditions for the research on neuron firing. The multi-electrode array recording system arranges electrodes in a dot matrix on the glass surface of a micro-area with a diameter of abo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/291A61B5/369
CPCA61B5/291A61B5/369
Inventor 于海涛雷新宇孟紫寒王江邓斌魏熙乐刘晨
Owner TIANJIN UNIV
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