Electrolyte-gated neuromorphic transistors for brain-like dynamic computing

• Main Authors: He, Yongli, Jiang, Shanshan, Chen, Chunsheng, Wan, Changjin, Shi, Yi, Wan, Qing
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Materials; Biomimetics; Computing Paradigm
• Online Access: https://hdl.handle.net/10356/161240
• Institution: Nanyang Technological University

In recent years, the rapid increase in the data volume to be processed has led to urgent requirements for highly efficient computing paradigms. Brain-like computing that mimics the way the biological brain processes information has attracted growing interest due to extremely high energy efficiency. Particularly, dynamics play an essential role in neural spike information processing. Here, we offer a brief review and perspective in the field of electrolyte-gated neuromorphic transistors for brain-like dynamic computing. We first introduce the biological foundation of dynamic neural functions. Then dynamic synaptic plasticity, dynamic dendritic integration, dynamic neural functions, and bio-inspired somatosensory systems realized based on the electrolyte-gated neuromorphic transistors are presented. At last, conclusions and perspectives are given.