Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
Institute of Microelectronics · Tsinghua University · +2 more institutions
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…
Citation impact
- FWCI
- 33.78
- Percentile
- 100%
- References
- 288
Authors
16Topics & keywords
- Neuromorphic engineering
- Materials science
- Bridging (networking)
- Nanotechnology
- Artificial neural network
- Engineering physics
- Artificial intelligence
- Computer science