Row-column interconnection heterogeneous multi-core brain-like chip and usage method for the same

Abstract

The invention discloses a row-column interconnection heterogeneous multi-core brain-like chip and a usage method for the same. In the brain-like chip, connection lines simulate synapses in a neural network, wherein transverse connection lines symbolize dendrites of nerve cells and longitudinal connection lines symbolize the axons of the nerve cells; signal processing cores represent the functions of the nerve cell bodies, which are positioned at intersection points of transverse connection lines and longitudinal connection lines; the signal processing cores determine whether to enter an excited state of the nerve cell according to an input signal and convert an excitation degree to output voltage and output the output voltage to longitudinal connection lines; signal transmission cores represent study and memory functions of the nerve cells, which are positioned at the intersection points of transverse connection lines and longitudinal connection lines which have different numbers; the signal transmission cores obtain input voltage signals from the longitudinal connection lines, perform calculation through a certain algorithm and output results to the transverse connection lines. The usage method comprises a study mode and a working mode. The row-column interconnection heterogeneous multi-core brain-like chip can memorize principles and relations between principles and finishes a prediction function according to memory.

Description

technical field [0001] The invention belongs to the field of semiconductor storage integrated circuits, and relates to a row-column interconnected heterogeneous multi-core brain-inspired chip and a use method thereof. Background technique [0002] The human brain processes a large amount of information every day through various channels such as vision, hearing, touch, etc., and its ability in reasoning, recognition, association, prediction, etc. is unmatched by computer systems, but it is estimated that the brain power consumption of an adult It is only about 20W, and the transmission speed of information in the brain can only reach the order of milliseconds. How to get inspiration from the working mode of the human brain, improve the operation mode of the computer system, so as to achieve the purpose of high efficiency and low power consumption, and at the same time process data according to the human way of thinking, and provide services are urgently needed by many researc...

AI Technical Summary

Problems solved by technology

The most fundamental difference is that the human brain uses concepts and the logical relationship between concepts as the main content of memory, and does not carry out long-term memory of original information data such as images, sounds, and texts, and each concept is composed of a group of neurons. It means that complex concepts need many neurons to express. The neurons of the human brain do not have a clear hierarchical structure like the traditional neural network, and have a clear direction of excitation transmission. There is a huge difference, and the relationship between concepts and concepts is often ignored in some existing neural network calculation schemes

Because of this, the understanding of the real world still lacks effective hardware solutions and corresponding theories

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