Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array.

ABSTRACT: The existing physical implementations of reservoir computing are constrained mainly by time-delay architectures that lack capabilities for spatial data processing. This study presents a multifunctional memristor-based reservoir computing system, the memristive echo state network (MESN), which enables spatiotemporal computation within a single device crossbar array. Utilizing a reconfigurable Ta/HfO₂/RuO₂ memristor, three distinct switching modes are realized: stochastic for input masking, bistable for sigmoidal activation, and analog for precise readout. A full in-memory implementation is experimentally demonstrated using a one-transistor-one-resistor crossbar array integrated with indium oxide thin-film transistors. Spatial inference is validated through cellular aut

SUBMITTER: Kim S 

PROVIDER: S-EPMC12801369 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature