An optoelectronic synapse based on α-In2Se3 with controllable temporal dynamics for multimode and multiscale reservoir computing

A reservoir computing system for multimode and multiscale signal processing can be created using optoelectronic synapses that are based on alpha-In2Se3 and exploit the tightly coupled ferroelectric and optoelectronic properties of the material. Neuromorphic computing based on emerging devices could overcome the von Neumann bottleneck-the restriction created by having to transfer data between memory and processing units-and help deliver energy-efficient data processing. The van der Waals semiconductor alpha-phase indium selenide (alpha-In2Se3) offers ferroelectric, optoelectronic and semiconducting properties and is potentially an ideal substrate for information processing, but its physical properties are not well exploited. Here we report an optoelectronic synapse that is based on alpha-In2Se3 and has controllable temporal dynamics under electrical and optical stimuli. Tight coupling between ferroelectric and optoelectronic processes in the synapse can be used to realize heterosynaptic plasticity, with relaxation timescales that are tunable via light intensity or back-gate voltage. We use the synapses to create a multimode reservoir computing system with adjustable nonlinear transformation and multisensory fusion, which is demonstrated using a multimode handwritten digit-recognition task and a QR code recognition task. We also create a multiscale reservoir computing system via the tunable relaxation timescale of the alpha-In2Se3 synapse, which is tested using a temporal signal prediction task.

Automated summary

Researchers have developed an optoelectronic synapse based on alpha-In2Se3 for creating a reservoir computing system capable of multimode and multiscale signal processing. By controlling the temporal dynamics of the synapse, adjustable nonlinear transformations and multisensory fusion are achieved. The relaxation timescale of the alpha-In2Se3 synapse is also tunable, allowing for the creation of a multiscale reservoir computing system.