Open AccessTunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses
Author(s) -
Han Hong,
Xu Zhipeng,
Guo Kexin,
Ni Yao,
Ma Mingxue,
Yu Haiyang,
Wei Huanhuan,
Gong Jiangdong,
Zhang Shuo,
Xu Wentao
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.201900176
Subject(s) - metaplasticity , nonsynaptic plasticity , synaptic plasticity , long term potentiation , neural facilitation , homosynaptic plasticity , plasticity , neuroscience , materials science , synaptic scaling , spike timing dependent plasticity , excitatory postsynaptic potential , neurotransmission , synaptic augmentation , chemistry , biology , inhibitory postsynaptic potential , biochemistry , receptor , composite material
In biological synapses, short‐term plasticity is important for computation and signal transmission, whereas long‐term plasticity is essential for memory formation. Comparably, designing a strategy that can easily tune the synaptic plasticity of artificial synapses can benefit constructing an artificial neural system, where synapses with different short‐term plasticity (STP) and long‐term plasticity (LTP) are required. Herein, a strategy is designed that can easily tune the plasticity of crystallized conjugated polymer nanowire‐based synaptic transistors (STs) by low‐temperature solvent engineering. Essential synaptic functions are achieved, such as excitatory postsynaptic current (EPSC), paired‐pulse facilitation (PPF), spike‐frequency‐dependent plasticity (SFDP), spike‐duration‐dependent plasticity (SDDP) and spike‐number‐dependent plasticity (SNDP), and potentiation/depression. The balance between crystallinity and roughness is successfully adjusted by altering solvent compositions, and plasticity of the synaptic device is easily tuned between short term and long term. The evident transition from STP to LTP, good linearity and symmetry of potentiation and depression, and the broad dynamic working range of synaptic weight are achieved. This provides a facile way to tune synaptic plasticity at low temperatures and is applicable to future organic and flexible artificial nervous systems.