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Method and system for converting artificial neuron information into spiking neuron information

An information conversion and neuron technology, applied in the field of artificial neural network, can solve the problems of different information and incompatibility between artificial neural network and spiking neural network.

Active Publication Date: 2017-06-20
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, in traditional neuromorphic systems, there are mainly two forms of neural networks, one is spiking neural network and the other is artificial neural network. The two have different expressions for the same input information, resulting in artificial neural network and spiking Neural networks are not compatible due to the different information they process

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  • Method and system for converting artificial neuron information into spiking neuron information
  • Method and system for converting artificial neuron information into spiking neuron information
  • Method and system for converting artificial neuron information into spiking neuron information

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[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] figure 1 It is a schematic flow diagram of a method for converting artificial neuron information into impulse neuron information in one embodiment, such as figure 1 The methods shown for converting artificial neuron information into spiking neuron information include:

[0058] Step S100, receiving artificial neuron input information input by a previous artificial neuron.

[0059] Specifically, the connection between the neurons of the spiking neural network is realized by Spike (1 bit), and has a certain time depth. Within a certain time frame, the frequency and pattern of pulse firing re...

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Abstract

The invention relates to a method for converting artificial neuron information into spiking neuron information. The method comprises the following steps: receiving artificial neuron input information input by a previous artificial neuron; judging the input mode of the artificial neuron input information; when the input mode is continuous input, converting the artificial neuron input information into first spiking neuron information through a first conversion mode; when the input mode is single input, converting the artificial neuron input information into second spiking neuron information through a second conversion mode; and outputting the first spiking neuron information or the second spiking neuron information. According to the invention, artificial neuron input information can be converted into spiking neuron information according to the demand, and the compatibility of the neural network with artificial neuron information and spiking neuron information can be improved.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to a method and a system for converting artificial neuron information into impulse neuron information. Background technique [0002] Most of today's artificial neural network research is still implemented in von Neumann computer software and high-performance GPGPU (General Purpose Graphic Processing Units) platform. The hardware overhead, energy consumption and information of the whole process The processing speed is not optimistic. For this reason, the field of neuromorphic computing has developed rapidly in recent years, that is, using hardware circuits to directly construct neural networks to simulate the functions of the brain, trying to achieve a computing platform that is massively parallel, low-energy, and capable of supporting complex pattern learning. [0003] However, in the traditional neuromorphic system, there are two main forms of neural network, on...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/06
CPCG06N3/049G06N3/061
Inventor 裴京吴臻志施路平邓磊李国齐
Owner TSINGHUA UNIV