Affiliation:
1. School of Microelectronics Hefei University of Technology Hefei 230009 P. R. China
2. College of Electronics and Information Engineering Shenzhen University Shenzhen 518060 P. R. China
3. College of Materials Science and Engineering Changsha University of Science and Technology Changsha 410114 P. R. China
Abstract
AbstractThe neuromorphic computing architecture is a promising artificial intelligence for implementing hierarchical processing, in‐memory computing, event‐driven operation and functional specialization in computing systems. However, current investigations mainly focus on unisensory processing without objective experience which is contrary to the flexible sensory learning capability in the human brain that can sense and process information according to the ever‐changing environment. For example, a dominant paradigm for reconfigurable bio‐learning features is the emotional experience. The neurotransmitter dopamine is released during arousal, influencing the vital brain functions involved in cognition, reward learning, movement and motivation. Here, the on‐demand configuration of a biorealistic synaptic connection based on a 2D CaTa2O7 (CTO) device is demonstrated that can be adaptively reconfigured for a reinforcement learning purpose by the light‐active resistive switching, which originated from the photon‐regulated metaplasticity. The low energy consumption of 12.4 fJ endows the reinforcement learning system with high power efficiency and reliability. Finally, in‐sensor computing with a CTO synapse is implemented with a filtering function to process digital data in a neuromorphic engineering manner. This work demonstrates the feasibility of 2D perovskite neuromorphic device with enhanced biological plausibility in the approaching post‐Moore era.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Fundamental Research Funds for the Central Universities
Subject
Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials
Cited by
1 articles.
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