Visual Image Preprocessing Based on Accelerated Learning Organic Thin Film Synaptic Transistor
In the process of image transmission and display,due to noise,feature attenuation and other reasons,the image quality will be degraded to different degrees,resulting in the wrong transmission of information.It is very important to improve image quality and extract image features through image preprocessing.In addition to image acquisition,the human brain also needs to process the image information.Neuromorphic display devices,which can simulate the synapses in human brain,have many advantages such as fast transmission and strong anti-interference ability,and are considered as valuable components in the field of neuromorphic display.In this paper,it is proposed that the heterojunction structure formed by the blending of two-dimensional material Ti3C2Tx MXene nanosheet and perovskite quantum dots(CsPbBr3/MXene)enhances the generation of photocurrent,and the organic thin film synaptic transistor is prepared by combining the excellent carrier mobility of organic semiconductor material PDVT-10.The basic functions of biological synapses,such as Excitatory Post-Synaptic Current(EPSC)and Paired Pulse Facilitation(PPF),were successfully simulated.Under the same light pulse stimulation,compared with pure CsPbBr3 synaptic transistor,the peak value of monopulse EPSC and multi-pulse EPSC of CsPbBr3/MXene synaptic transistor reaches 148％and 157.6％,respectively.Rapid transformation from Short-Term Plasticity(STP)to Long-Term Plasticity(LTP)was achieved in the same time.
organic thin film transistoraccelerate learningimage preprocessing
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