Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
neuroscience, brain imaging, brain connectivity map, brain-computer interface, brain-inspired intelligence, brain-inspired computing, spiking neural network processor, brain-inspired processor (BPU)
Document Type
High Ground of Science and Innovation
Abstract
With intelligence technology as the core technology and intelligent computing power as the productive force, the intelligent era has once again pushed brain science to the forefront of world science and technology. Brain science is the science that studies the nature and rule of cognition and intelligence of human, animal, and machine. A comprehensive analysis of the structure and functional connection rule of the nervous system will eventually draw the functional connectivity map of the brain. In the past decade, neuroscience research has been committed to systematically analyzing the types of neurons and neural structural connections of the nervous system, and has made phased progress under the drive of single-cell transcriptome analysis, neural network structure tracer and other technologies. The analysis of the human brain, the most complex information and intelligence system, will enlighten the brain-inspired intelligence theory and technology, that is, the intelligence theory and technology inspired by brain science/ neuroscience. In the era of intelligence, the interdisciplinary research paradigm of brain science research has promoted brain-inspired intelligence research fields such as brain-computer interface and brain-inspired intelligent computing to join brain science. Neural decoding and coding techniques of brain-computer interface provide important functional research techniques and methods for mapping functional neural networks of human brain, and explore the application in the clinical diagnosis and treatment of brain diseases. Brain-inspired computing is becoming a new paradigm of brain science research. By learning from the basic principles of brain processing information and learning, a new type of brain-inspired computing system with high energy efficiency, high speed and intelligence can be developed. The use of the developed brain-inspired computing system can accelerate the development of brain simulation and digital brain, promote the understanding of brain mechanism and the treatment of brain diseases, and develop digital brain science and brain medicine. The newly emerged spiking neural network-based intelligent processor has laid the foundation for the construction of large-scale brain-inspired intelligent computing system, and the future brain-inspired supercomputing power is likely to exceed the human brain computing power, which will affect the transformation of intelligent science and technology and the development of human society.
First page
840
Last Page
850
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
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Recommended Citation
ZHANG, Xu
(2024)
"Brain science and brain-inspired intelligence in intelligent era,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39
:
Iss.
5
, Article 6.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20240305003
Available at:
https://bulletinofcas.researchcommons.org/journal/vol39/iss5/6
Included in
Computer Sciences Commons, Data Science Commons, Neuroscience and Neurobiology Commons, Science and Technology Policy Commons