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System and method for simulating biological neuron dynamics to realize logical operation

A logic operation and neuron technology, which is applied in the field of neuromorphic photon computing and spike neural network, can solve the problems of reducing information processing speed, system structure complexity, and system volume increase, and achieves simplification, simple structure, and small size. volume effect

Active Publication Date: 2022-07-15
SUZHOU UNIV
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Problems solved by technology

These schemes use the rich dynamics of light-injected semiconductor lasers to simulate the dynamics of biological neurons. However, in general, these lasers will have unnecessary relaxation oscillations in the excitatory response generated by light injection. This greatly reduces the speed of information processing, and at the same time, the introduction of light injection will inevitably lead to an increase in the complexity of the system structure, especially in large-scale network structures, which will lead to increased system volume, increased energy consumption, and reduced efficiency

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  • System and method for simulating biological neuron dynamics to realize logical operation
  • System and method for simulating biological neuron dynamics to realize logical operation
  • System and method for simulating biological neuron dynamics to realize logical operation

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Embodiment Construction

[0037] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0038] like figure 1 As shown, it is a system for simulating the dynamics of biological neurons to realize logical operations in a preferred embodiment of the present invention, including:

[0039] The input module is used to generate two channels of rectangular input electrical signals with tunable intensity duty ratio of any bit to simulate the stimulation signal of biological neurons;

[0040] an electrical coupling module, connected to the input module, the electrical coupling module is used to couple the two channels of rectangular input electrical signals with tunable bit intensity duty cycle into one channel of electrical signals to simulate cells in biological neurons the role...

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Abstract

The invention discloses a system and a method for simulating biological neuron dynamics to realize logical operation. The system for simulating biological neuron dynamics to realize logical operation comprises an input module, an electric coupling module, a laser response module and an output module. The system for simulating biological neuron dynamics to realize logical operation is based on the Fano laser, on one hand, compared with a traditional laser, the system has more stable characteristics, so that the excitability of simulated neurons can be more stable through an electric signal modulation injection technology, and unnecessary relaxation oscillation phenomena cannot be generated; and thus, the information processing speed is increased. Meanwhile, on the basis of avoiding extra light injection, the structure simplification is realized, especially in a large neural network for realizing complex tasks. And secondly, the Fano laser is extremely small in size, extremely low in energy consumption, higher in speed, simple in structure, low in cost and easy to control.

Description

technical field [0001] The invention relates to the field of neuromorphic photon computing and spiking neural network, in particular to a system and method for simulating the dynamics of biological neurons to realize logic operation. Background technique [0002] Neuromorphic computing mainly abstracts the neurons of the human brain from the perspective of information processing, and conducts information processing by establishing corresponding neural computing models and systems to simulate the way that biological brain neural networks process and memorize information. The spiking neural network will respond in the form of a peak when it receives an external stimulus and reaches the threshold, similar to the all-or-nothing mechanism, also known as excitability, and the sparse spike sequence of its response contains the time and intensity information of the external stimulus. Spikes transmit information, and the coding method of spiking neural network is realized by simulati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/06
CPCG06N3/061
Inventor 李念强陈太一周沛
Owner SUZHOU UNIV
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