Synaptic Transistor Capable of Accelerated Learning Induced by Temperature-Facilitated Modulation of Synaptic Plasticity

• DOI: 10.1021/acsami.9b17227
• Publication Date: 2019-11-14T16:14:38Z
• Authors: Enlong Li; Weikun Lin; Yujie Yan; Huihuang Yang; Xiumei Wang; Qizhen Chen; DongXu Lv; Gengxu Chen; Huipeng Chen; Tailiang Guo
• Keywords: Neuromorphic engineering; Synaptic weight; Realization (probability)

Neuromorphic computation, which emulates the signal process of human brain, is considered to be a feasible way for future computation. Realization dynamic modulation synaptic plasticity and accelerated learning, could improve processing capacity learning ability artificial devices, further energy efficiency neuromorphic Nevertheless, realization regulation weight without an external regular terminal method that endow devices with modulate speed have rarely been reported. Furthermore, finding suitable materials fully mimic response photoelectric stimulation still challenging synapses. Here, floating gate transistor based on L-type ligand-modified all-inorganic CsPbBr3 perovskite quantum dots demonstrated. This work provides first clear experimental evidence can dynamically regulated by changing waveforms action potential environment temperature both these parameters originate from are crucial in higher organisms. Moreover, benefiting excellent properties stability dots, temperature-facilitated illustrated classical conditioning experiment illumination, mechanism also offers realize accelerating synapses, showed great reduction consumption improvement computing.