The von Neumann bottleneck has spawned the rapid expansion of neuromorphic engineering and brain-like networks.Synapses serve as bridges for information transmission and connection in the biological nervous system.The...The von Neumann bottleneck has spawned the rapid expansion of neuromorphic engineering and brain-like networks.Synapses serve as bridges for information transmission and connection in the biological nervous system.The direct implementation of neural networks may depend on novel materials and devices that mimic natural neuronal and synaptic behavior.By exploiting the interfacial effects between MoS_(2) and AlOx,we demonstrate that an h-BN-encapsulated MoS_(2) artificial synapse transistor can mimic the basic synaptic behaviors,including EPSC,PPF,LTP,and LTD.Efficient optoelectronic spikes enable simulation of synaptic gain,frequency,and weight plasticity.The Pavlov classical conditioning experiment was successfully simulated by electrical tuning,showing associated learning behavior.In addition,h-BN encapsulation effectively improves the environmental time stability of our devices.Our h-BN-encapsulated MoS_(2) artificial synapse provides a new paradigm for hardware implementation of neuromorphic engineering.展开更多
基金This work was supported by the National Natural Science Foundation of China(61622401,61851402,and 61734003)the National Key Research and Development Program(2017YFB0405600)+1 种基金the Shanghai Education Development Foundation,and the Shanghai Municipal Education Commission Shuguang Program(18SG01)P.Z.also acknowledges support from the Shanghai Municipal Science and Technology Commission(grant no.18JC1410300)。
文摘The von Neumann bottleneck has spawned the rapid expansion of neuromorphic engineering and brain-like networks.Synapses serve as bridges for information transmission and connection in the biological nervous system.The direct implementation of neural networks may depend on novel materials and devices that mimic natural neuronal and synaptic behavior.By exploiting the interfacial effects between MoS_(2) and AlOx,we demonstrate that an h-BN-encapsulated MoS_(2) artificial synapse transistor can mimic the basic synaptic behaviors,including EPSC,PPF,LTP,and LTD.Efficient optoelectronic spikes enable simulation of synaptic gain,frequency,and weight plasticity.The Pavlov classical conditioning experiment was successfully simulated by electrical tuning,showing associated learning behavior.In addition,h-BN encapsulation effectively improves the environmental time stability of our devices.Our h-BN-encapsulated MoS_(2) artificial synapse provides a new paradigm for hardware implementation of neuromorphic engineering.
