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Method and system for converting neuron membrane potential into pulse sequence

A technology of pulse sequence and membrane potential, applied in the field of neural network control, can solve problems such as inaccurate results and achieve the effect of improving accuracy

Active Publication Date: 2022-06-03
中科南京智能技术研究院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

(3) Error measurement caused by conversion
Second, the results obtained by manual intervention are not accurate enough

Method used

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  • Method and system for converting neuron membrane potential into pulse sequence
  • Method and system for converting neuron membrane potential into pulse sequence
  • Method and system for converting neuron membrane potential into pulse sequence

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Embodiment Construction

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] The purpose of the present invention is to provide a method and system for converting the neuron membrane potential into a pulse sequence, which improves the accuracy of converting the membrane potential of a biological neuron model into a pulse sequence.

[0022] In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail...

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Abstract

The invention relates to a neuron membrane potential-to-pulse sequence conversion method and system, and belongs to the field of neural network control, and the method comprises the steps: converting membrane potential data of a biological neuron into a pulse sequence, recording the pulse sequence as a first pulse sequence, determining a hard threshold according to the first pulse sequence and second membrane potential data, and recording the hard threshold as a second pulse sequence; converting the membrane potential data of the biological neuron model into a second pulse sequence according to a hard threshold value; converting the first pulse sequence into a first pulse moment set represented by moments, and converting the second pulse sequence into a second pulse moment set represented by moments; determining the maximum error tolerance of elements in the first pulse time set and elements in the second pulse time set according to the first pulse time set and the second pulse time set; and determining a pulse sequence of the biological neuron model with the maximum error tolerance based on the first pulse moment set and the second pulse moment set. The accuracy of converting the membrane potential of the biological neuron model into the pulse sequence is improved.

Description

technical field [0001] The invention relates to the technical field of neural network control, in particular to a method and a system for converting the neuron membrane potential to a pulse sequence. Background technique [0002] In recent years, the development of brain-like computing, brain science, and deep learning has been in full swing, and neurons as the most basic unit have received close attention. People hope to study related topics such as intelligence and consciousness by studying the mechanism of biological neurons and simulating the network structure of the brain. It is a complex process for neurons to receive, process, and transmit external stimulus signals. Simulation and model building can not only help understand the operating mechanism of biological nerve cells, but also facilitate the development of more biologically interpretable models. Artificial Neural Network Algorithm. [0003] figure 2 Demonstrates the mechanism by which biological neurons recei...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/06A61B5/388
CPCG06N3/049G06N3/061A61B5/388
Inventor 曾一诺尚德龙周玉梅
Owner 中科南京智能技术研究院
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