Unit, device and method for simulating biological neuron and neuronal synapsis

Abstract

The invention discloses a unit, a device and a method for simulating biological neuron and neuronal synapsis on the basis of chalcogenide compounds. The unit comprises a first electrode layer, a function material layer and a second electrode layer. During the neuron simulation, a device receives the stimulation of one or a plurality of electric pulses, the resistance of the function material is changed into the low resistance state from the high resistance state, the simulated neuron is changed into an excitation state from a resting state, and the threshold value excitation and energy accumulation excitation functions are realized. During the neuronal synapsis simulation, the electric conductance of the function material layer of the device can be gradually changed according to input signals, and the synapsis weight regulating function is realized, the ynapsis weight is changed according to time differences of signals input at two ends, and the STDP (spike timing dependent plasticity) function of synapsis is realized. The basic device forming the artificial neural network can be provided.

Description

technical field [0001] The invention belongs to the technical field of microelectronic devices, and more specifically relates to a unit, device and method for simulating biological neurons and synapses. Background technique [0002] In a traditional computer based on the von Neumann architecture, the processor and the memory are separated and connected by a bus. Such a structure has the so-called "von Neumann bottleneck", which makes it difficult to adapt to the current era of rapid development of information technology with explosive growth of information. [0003] Compared with von Neumann computers, the neural information activities of the human brain have the characteristics of large-scale parallelism, distributed storage and processing, self-organization, self-adaptation and self-learning. Researchers in the fields of traditional artificial neural networks and neuromorphic engineering have also been working on using nonlinear circuits, FPGA, VLSI and other means to sim...

AI Technical Summary

Problems solved by technology

The title of the Chinese invention is: information processing method and device for simulating biological neuron information processing mechanism. The device shown in the patent application document with the publication number CN101770560A is based on a CMOS integrated circuit. Multiple transistors are used to form a neuron, and the integration density is

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