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Neuron information receiving method and system

An information receiving and neuron technology, applied in the field of neural networks, can solve problems such as limiting the information processing capability of neural networks, and achieve the effects of improving the overall information processing capability, simple and reliable implementation, and improving information processing efficiency.

Active Publication Date: 2020-04-21
LYNXI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When carrying neural network operations, this limits the output of each layer of the neural network to no more than 256, that is, the number of neurons in the next layer cannot exceed 256, that is, in the traditional neural network, the connection between neurons is limited, Greatly limit the information processing ability of the neural network

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  • Neuron information receiving method and system
  • Neuron information receiving method and system

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Embodiment Construction

[0040] 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.

[0041] figure 1 It is a schematic flow diagram of a method for receiving neuron information in an embodiment, such as figure 1 The neuron information receiving method of an embodiment includes:

[0042] Step S100, determining a multiplexing group of front-end neurons, where the multiplexing group of front-end neurons includes at least two front-end neurons.

[0043] Specifically, in order to enable the current neuron to receive information input by more front-end neurons in one operation step, and to multiplex the front-end neurons in one operation step, it is necessary to determine the number of...

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Abstract

The invention relates to a neuron information reception method. The method includes: determining a front-end neuron multiplexing group, wherein the front-end neuron multiplexing group comprises at least two front-end neurons; configuring a multiplexing rule of a current neuron according to the front-end neuron multiplexing group, wherein the multiplexing rule divides an operation step into at least two operation periods, the quantity of the operation periods is greater than or equal to the quantity of the front-end neurons, and front-end neurons in the front-end neuron multiplexing group respectively correspond to the operation periods in a one-by-one manner; and receiving neuron information output by the front-end neurons in the current operation step according to the multiplexing rule. According to the method, the current neuron can receive more information sent by the front-end neurons, the capability of information reception of the neurons is improved, and the information processing capability of the whole neural network is improved.

Description

technical field [0001] The invention relates to the technical field of neural networks, in particular to a neuron information receiving method and system. Background technique [0002] Neuromorphic engineering was proposed by Carver Mead in 1990, which aims to use large-scale integrated circuits to simulate the architecture of biological nervous systems and build neuromorphic computing systems. Early neuromorphic computing systems were generally implemented by analog circuits, but in recent years digital circuits and digital-analog hybrid circuits have been increasingly used by neuromorphic engineering. At present, neuromorphic engineering and neuromorphic circuits are one of the emerging research hotspots in the world. Traditional neuromorphic computing platforms aim to simulate brain neuron models and ion channel activities through analog circuits, and use digital circuits and on-chip storage to build connections and routes, so that it is very convenient to change the neu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/06
CPCG06N3/049G06N3/061
Inventor 裴京施路平焦鹏邓磊吴臻志
Owner LYNXI TECH CO LTD
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