Nerve cell element and neural network

Abstract

The invention provides a nerve cell element and a neural network, wherein the nerve cell element comprises a lower heating electrode, a phase change material, an upper electrode and a surrounding medium material, and the nerve cell element is changed into a normal state when a recovery pulse is applied and is changed into an exciting state when a stimulating pulse is applied. The nerve cell element only needs tens of nano time to be changed into the exciting state from the normal state, and requires very small energy consumption when being changed into the normal state from the exciting state. Meanwhile, the nerve cell element has the functions of comprehensively responding to the amplitude, the width and the number of stimulating pulses and providing a weight part and an operation part. The nerve cell element is simple in structure, is compatible with a CMOS (Complementary Metal-Oxide-Semiconductor Transistor) process, and is convenient in massive integration. The neural network comprises a hierarchical nerve cell array comprising a plurality of nerve cell elements, so that multi-channel transmission and storage of information are implemented, a learning function is achieved, and the neural network is expected to be applied in the field of cognitive computers and the like.

Description

technical field [0001] The invention belongs to the fields of microelectronics, nanometer materials and device preparation, and in particular relates to a neuron device and a neural network. Background technique [0002] The rapid development of modern computing systems is mainly due to the continuous improvement of von Neumann architecture and silicon-based chip integration. In the Fung system, information processing and information storage are carried out separately, and the essence of this architecture is a linear process. Computer software is a linear sequence of events composed of instructions programmed for linear processing. So a faster clock speed means the computer can process these linear instructions faster. The simplicity and clarity of the Fung architecture makes it a mainstream architecture in computer systems. However, as the complexity of processing problems increased, the complexity of Fung's computing system itself began to increase sharply, and the oper...

AI Technical Summary

Problems solved by technology

However, as the complexity of processing problems increases, the complexity of Feng's computing system itself begins to increase sharply, and the operating efficiency and energy consumption efficiency are not satisfactory.

Especially when dealing with large and complex problems, especially intelligent problems, it faces the development bottleneck of low efficiency and high energy consumption

On the other hand, modern chip manufacturing techniques have revealed their limitations

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