2D Heterostructure for High‐Order Spatiotemporal Information Processing (Adv. Funct. Mater. 7/2022). (8th February 2022)

• Record Type: Journal Article
• Authors: Zhai, Yongbiao; Xie, Peng; Feng, Zihao; Du, Chunyu; Han, Su‐Ting; Zhou, Ye
• Is Part Of: Advanced functional materials. Volume 32:Number 7(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-08
• Subjects: Bienenstock–Cooper–Munro theory -- high‐order spatiotemporal -- memtransistors -- neuromorphic computing -- triplet‐triplet‐spike timing dependent plasticity; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adfm.202270045
• Languages: English
• ISSNs: 1616-301X

Abstract

Abstract : Spatiotemporal Information Processing In article number 2108440, Ye Zhou and co‐workers design a 2D heterostructure‐based memtransistor to emulate the Bienenstock–Cooper–Munro theory, since such structures not only induce a spontaneous forgetting process but also offer another gate‐tunable forgetting effect. The BCM learning rule is perfectly demonstrated on this memtransistor using triplet‐STDP. Furthermore, high‐order spatiotemporal recognition is achieved in a feedforward neuron network.