Bioinspired Multisensory Fusion via MoTe 2 Optoelectronic Memristor with Oxygen Plasma Treatment for In-sensor Reservoir Computing

Abstract

Biological multimodal perception systems play a pivotal role in environmental interaction through the sophisticated integration of multisensory information. Inspired by this natural paradigm, we demonstrate breakthrough two-dimensional MoTe 2 -based optoelectronic memristors capable of synergistic infrared optical and electrical signal processing in a monolithic device-a critical advancement toward artificial multimodal sensing systems. The developed structure demonstrates superior biorealistic synaptic functionalities, including tunable short-term plasticity, paired-pulse facilitation, and spike-time-dependent plasticity through photoelectronic co-modulation. More significantly, we construct a multimodal reservoir computing architecture that synergistically combines optical and electrical inputs, achieving higher pattern recognition accuracy compared to single mode. This work establishes a new dimension in neuromorphic hardware design through inherent multimodal signal fusion capabilities. Our findings provide fundamental insights into photoelectronic coupling mechanisms while demonstrating practical pathways toward high-efficient neuromorphic computing systems with biological sensory integration.