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Neuromorphic Computing (NC), which emulates neural activities of the humanbrain, is considered for low-power implementation of artificial intelligence.Towards realizing NC, fabrication, and investigations of hardware elements suchas synaptic devices and neurons are essential. Electrolyte gating has beenwidely used for conductance modulation by massive carrier injections and hasproven to be an effective way of emulating biological synapses. Synapticdevices, in the form of synaptic transistors, have been studied using a widevariety of materials. However, studies on metallic channel based synaptictransistors remain vastly unexplored. Here, we have demonstrated athree-terminal cobalt-based synaptic transistor to emulate biological synapse.We realized gating controlled multilevel, nonvolatile conducting states in theproposed device. The device could successfully emulate essential synapticfunctions demonstrating short-term and long-term plasticity. A transition fromshort-term memory to long-term memory has been realized by tuning gate pulseamplitude and duration. The crucial cognitive behavior viz., learning,forgetting, and relearning, has been emulated, showing resemblance to the humanbrain. Along with learning and memory, the device showed dynamic filteringbehavior. These results provide an insight into the design of metallic channelbased synaptic transistors for neuromorphic computing.

Emulation of Synaptic Plasticity on Cobalt based Synaptic Transistor for Neuromorphic Computing