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Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals,Progress, and Challenges
Authors:Jianshi Tang  Fang Yuan  Xinke Shen  Zhongrui Wang  Mingyi Rao  Yuanyuan He  Yuhao Sun  Xinyi Li  Wenbin Zhang  Yijun Li  Bin Gao  He Qian  Guoqiang Bi  Sen Song  J. Joshua Yang  Huaqiang Wu
Abstract:As the research on artificial intelligence booms, there is broad interest in brain‐inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re‐visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the existing challenges are highlighted to hopefully shed light on future research directions.
Keywords:artificial neural systems  biological neural systems  brain‐inspired computing  memristors  neural networks  neuromorphic devices
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