Emulation of synaptic function by ionic/electronic hybrid device is crucial for brain-like computing and neuromorphic systems.Electric-double-layer(EDL)transistors with proton conducting electrolytes as the gate diele...Emulation of synaptic function by ionic/electronic hybrid device is crucial for brain-like computing and neuromorphic systems.Electric-double-layer(EDL)transistors with proton conducting electrolytes as the gate dielectrics provide a prospective approach for such application.Here,artificial synapses based on indium-tungsten-oxide(IWO)-based EDL transistors are proposed,and some important synaptic functions(excitatory post-synaptic current,paired-pulse facilitation,filtering)are emulated.Two types of spike-timing-dependent plasticity(Hebbian STDP and anti-Hebbian STDP)learning rules and multistore memory(sensory memory,short-term memory,and long-term memory)are also mimicked.At last,classical conditioning is successfully demonstrated.Our results indicate that IWO-based neuromorphic transistors are interesting for neuromorphic applications.展开更多
基金the National Natural Science Foundation of China(Grant Nos.11674162 and 61834001)the National Key R&D Program of China(Grant Nos.2018YFA0305800 and 2019YFB2205400).
文摘Emulation of synaptic function by ionic/electronic hybrid device is crucial for brain-like computing and neuromorphic systems.Electric-double-layer(EDL)transistors with proton conducting electrolytes as the gate dielectrics provide a prospective approach for such application.Here,artificial synapses based on indium-tungsten-oxide(IWO)-based EDL transistors are proposed,and some important synaptic functions(excitatory post-synaptic current,paired-pulse facilitation,filtering)are emulated.Two types of spike-timing-dependent plasticity(Hebbian STDP and anti-Hebbian STDP)learning rules and multistore memory(sensory memory,short-term memory,and long-term memory)are also mimicked.At last,classical conditioning is successfully demonstrated.Our results indicate that IWO-based neuromorphic transistors are interesting for neuromorphic applications.
