Full-scale distributed whole brain simulation system based on brain-like pulse neural networks

Abstract

The invention relates to the field of brain-like neural networks, provides a full-scale distributed whole brain simulation system based on brain-like pulse neural networks, and aims to solve problemsof lack of multiple scales and multiple scale modeling methods in brain-like simulation and modeling and simulation coupling. The system comprises a user modeling layer unit, a model layer unit, an intermediate abstract layer unit and a simulation layer unit. In the user modeling layer unit, users can perform modeling based on a whole brain model by employing a modeling script language; in the model layer unit, the system saves a built-in model and a user-built model and converts the model to intermediate abstraction; in the intermediate abstract layer unit, the system combines the intermediate abstraction and converts the abstraction to a runtime format; and in the simulation layer unit, the system reads the runtime format to simulate operation and interacts with the users in real time. According to the system, the modeling and simulation of neural network models of multiple scales can be realized in multiple scales, and the portability of the brain-like models is improved with the combination of the hardware design.

Description

technical field [0001] The invention relates to the technical field of whole-brain neural network simulation, in particular to a full-scale distributed whole-brain simulation system based on a brain-like impulse neural network. Background technique [0002] The traditional artificial intelligence system only simulates the intelligence of the human brain in specific behaviors, and the algorithms and systems that realize the specific behaviors of the human brain do not have any versatility. Therefore, although many intelligent special systems have been formed, it is difficult to extend them to used in other fields. So far, only the human brain has general intelligence capabilities. The brain processes and integrates information and knowledge from distributed data sources, and produces comprehensive decisions. Various types of neurons and neural circuits with different functions in the brain cooperate in cognitive tasks, self-organize to build a dynamic problem-solving pathwa...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems in the prior art, that is, in order to solve the inability to realize neural network modeling, simulation and fusion of multiple scales in the brain-like simulation, the brain-like model is coupled with the hardware environment, and the portability is poor, and it is difficult to adapt to different hardware. For the problem of configuration adjustment model calculation distribution, the present invention adopts the following technical solutions to solve the above problems:

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