首页|Advancing brain-inspired computing with hybrid neural networks
Advancing brain-inspired computing with hybrid neural networks
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Brain-inspired computing,drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain,has gained significant momentum in recent years.It has emerged as a research paradigm centered on brain-computer dual-driven and multi-network integration.One noteworthy instance of this paradigm is the hybrid neural network(HNN),which integrates computer-science-oriented artificial neural networks(ANNs)with neuroscience-oriented spiking neural networks(SNNs).HNNs exhibit distinct advantages in various intelligent tasks,including perception,cognition and learning.This paper presents a comprehensive review of HNNs with an emphasis on their origin,concepts,biological perspective,construction framework and supporting systems.Furthermore,insights and suggestions for potential research directions are provided aiming to propel the advancement of the HNN paradigm.
brain-inspired computinghybrid neural networkdual-brain drivenmulti-network integrationneuromorphic system
Center for Brain-Inspired Computing Research,Optical Memory National Engineering Research Center,Tsinghua University-China Electronics Technology HIK Group Co.Joint Research Center for Brain-inspired Computing,IDG/McGovern Institute for Brain Research,Department of Precision Instrument,Tsinghua University,Beijing 100084,China
Neuromorphic Computing Laboratory,China Nanhu Academy of Electronics and Information Technology,Jiaxing 314001,China
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