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Ionic/Electronic Hybrid Materials Integrated in a Synaptic Transistor with Signal Processing and Learning Functions
Author(s) -
Lai Qianxi,
Zhang Lei,
Li Zhiyong,
Stickle William F.,
Williams R. Stanley,
Chen Yong
Publication year - 2010
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201000282
Subject(s) - transistor , materials science , postsynaptic potential , excitatory postsynaptic potential , synaptic plasticity , signal (programming language) , computer science , spike (software development) , ionic bonding , nanotechnology , optoelectronics , ion , neuroscience , electrical engineering , voltage , inhibitory postsynaptic potential , physics , chemistry , biology , engineering , programming language , biochemistry , receptor , software engineering , quantum mechanics
A synaptic transistor is fabricated by integrating ionic/electronic hybrid materials to emulate biological synapses with spike signal processing, learning, and memory functions. A potential spike generates transient ionic fluxes in a polymer layer in the transistor gate, triggering an excitatory postsynaptic current in the transistor drain. Temporally correlated pre‐ and post‐synaptic spikes modify ions stored in the polymer, resulting in the nonvolatile modification of the transistor with spike‐timing‐dependent plasticity.