Flexible Neuromorphic Architectures Based on Self-Supported Multiterminal Organic Transistors

• DOI: 10.1021/acsami.8b07443
• Publication Date: 2018-07-16T16:39:01Z
• Authors: Ying Fu; Ling-an Kong; Yang Chen; Juxiang Wang; Chuan Qian; Yongbo Yuan; Jia Sun; Yongli Gao; Qing Wan
• Keywords: Neuromorphic engineering; Realization (probability); Memristor

Because of the fast expansion artificial intelligence, development and applications neuromorphic systems attract extensive interest. In this paper, a highly interconnected architecture (HINA) based on flexible self-supported multiterminal organic transistors is proposed. Au electrodes, poly(3-hexylthiophene) active channels, ion-conducting membranes were combined to fabricate devices. Especially, freestanding used as gate dielectrics well support substrates. Basic behavior four forms spike-timing-dependent plasticity emulated. The fabricated device showed excellent electrical stability mechanical flexibility after 1000 bends. Most importantly, structure in way similar neural human brain realizes not only multigate but also characteristics global gate. Dynamic processes memorizing forgetting incorporated into matrix simulation. Pavlov's learning rule was simulated by taking advantage array. Realization HINAs would open new path for sophisticated networks.