Data processing method and device based on spiking neural network

A spiking neural network and data processing technology, applied in the field of spiking neural network, can solve the problems of low efficiency of pulse signal sequence pooling, affecting the data processing efficiency of SNN network model, etc. time reduction effect

Active Publication Date: 2022-07-29
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

However, in practice, the length of the pulse signal sequence is usually longer, that is, the value of N is often relatively large, resulting in low efficienc

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  • Data processing method and device based on spiking neural network
  • Data processing method and device based on spiking neural network
  • Data processing method and device based on spiking neural network

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[0033] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the present application. examples, but not all examples. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0034] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0035] see figure 1 , is one of the schematic flow charts of the data processing method based on the spiking neural network provided by the embodiment of the present invention. The method is applied to the server and used to process the data input i...

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Abstract

The invention provides a data processing method and device based on a spiking neural network. The method comprises the following steps: compressing each pulse signal sequence generated by input data to obtain each compressed code of the input data; and pooling each compressed code through a pulse neural network to obtain target data. According to the data processing method based on the pulse neural network provided by the embodiment of the invention, the pulse signal sequence is compressed to form the compressed code, so that the length of the compressed code is greatly reduced compared with the length of the pulse signal sequence, and the requirement on the pulse storage space is exponentially reduced during storage. And because the length of the formed compressed code is short, the calculation time can be shortened exponentially during pooling calculation, the pooling efficiency is improved, and the processing efficiency of the data input into the SNN network model is further improved.

Description

technical field [0001] The present application relates to the technical field of spiking neural networks, and in particular, to a data processing method and device based on spiking neural networks. Background technique [0002] With the development of brain science and brain-like computing technology, Spiking Neural Network (SNN) is considered to be a computing model close to the way of brain information processing, which can imitate the human brain to process data such as images or speech. The advantages of low power consumption and simple structure. [0003] In the related art, when using the spiking neural network to process data such as images or sounds, the SNN network model is used to encode input data, such as image frames or voice data, to form multiple pulse signal sequences based on pulse frequency coding, and then pass the SNN network model. Pooling is performed to pool multiple pulse signal sequences into one output to obtain the target result. [0004] The pul...

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Application Information

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IPC IPC(8): G06N3/063
CPCG06N3/063
Inventor 尹志刚
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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