Egg Albumen-based Electrolyte Electric-double-layer Transistor And Synaptic Behavior Bionic

The human brain is composed of¹0¹¹ neurons,and the neurons are interconnected through¹0¹⁵ synapses,forming a delicate and complex neural network with highly parallel information processing capabilities.Therefore,creating a neuromorphic computing system as intelligent as the human brain has become one of the research hotspots in recent years.Due to its unique ionic/electron coupling effect and electrochemical doping reaction,the electrolyte-regulated electric-double-layer transistor not only has the characteristics of low operating voltage and low energy consumption,but also can realize the bionics of the synaptic plastic behavior of the transistor.This transistors may provide hardware support for neuromorphic computing systems.In this paper,EDLTs using egg albumen bioelectrolyte as the gate dielectric is studied,and synaptic plasticity behavior is studied based on the transistor.The research contents of the paper are as follows:Firstly,coplanar-coupled EDLTs were successfully prepared by spin coating on a paper substrate with egg albumen bioelectrolyte as the gate dielectric.The egg albumen membrane was characterized by FTIR,AFM and SEM.Electrical tests were performed on the transistors.The device has a I_on/offn/off of¹0⁶,an V_on of only 1.5 V,a SS of¹44.1 mV/decade,and a?_satat of12.8 cm²V^-1·s.The dynamic stability of EDLTs were tested.The study found that coplanar coupling EDLTs with egg albumen bioelectrolyte as the gate dielectric can provide an option for the fabrication of"green degradable"low-voltage and low-cost oxide transistors.Secondly,the prepared EDLTs were tested for leakage at different voltages and stability test after repeated response.It was found that the transistor had good repeatability.The threshold voltage regulation of the device was realized in two ways based on the coplanar coupling EDLTs:?1?By adjusting the thickness of the oxide semiconductor layer;?2?By changing the bias voltage of one of the gates.Through the above two methods,the transistors were switched from the depletion mode to the enhancement mode.Furthermore,logic functions"AND"and"NO"were implemented on the basis of EDLTs.At the same time,it was found that the prepared resistive load inverter has excellent anti-noise ability.Finally,synaptic plasticity behaviors were performed using the EDLTs,including short-term plasticity?STP?and long-term plasticity?LTP?.The STP includes EPSC,PPF,Filter,and spatial information integration characteristics.The LTP successfully realized the conversion from SM to STM and then LTM characteristics,and specially simulated experiments on the"experience learning"characteristics.In addition,the regulation mechanism of synaptic bionic behavior simulation was analyzed.Through the above research experiments,it is possible to provide more choices in terms of hardware for the realization of artificial synaptic neuromorphic calculations.