Tribo‐ferro‐optoelectronic neuromorphic transistor of α‐In₂Se₃

Abstract

Inspired by biological neural networks, the fabrication of artificial neuromorphic systems with multimodal perception capacity shows promises in overcoming the “von Neumann bottleneck” and takes advantage of the efficient perception and computation of diverse types of signals. Here, we combine a triboelectric nanogenerator with an α‐phase indium selenide (α‐In2Se3) optoelectronic synaptic transistor to construct a tribo‐ferro‐optoelectronic artificial neuromorphic device with multimodal plasticity. Based on the excellent ferroelectric and optoelectronic characteristics of the α‐In2Se3 channel, typical synaptic behaviors (e.g., pair‐pulse facilitation and short‐term/long‐term plasticity) are successfully simulated in response to the synergistic effect of mechanical and optical stimuli. The interaction of mechanical displacement and light illumination enables heterosynaptic plasticity and spatiotemporal dynamic logic. Furthermore, multiple Boolean logical functions and associative learning behaviors are successfully implemented using the paired stimuli of displacement pulses and light pulses. The proposed tribo‐ferro‐optoelectronic artificial neuromorphic devices have great potential for application in interactive neural networks and next‐generation artificial intelligence.

Metallopolymeric Memristor Based Artificial Optoelectronic Synapse for Neuromorphic Computing

“…In addition to simulating synaptic characteristics, the P-Cu -based memristor also achieves the emulation of typical Boolean logic functions through electrical stimuli with varying pulse widths (Figure g). We employ two electrical pulses as input signals to implement basic AND and OR gate circuits . The duration of the input signal acts as a modulation variable, governing the logic function switching.…”

“…We employ two electrical pulses as input signals to implement basic AND and OR gate circuits. 37 The duration of the input signal acts as a modulation variable, governing the logic function switching. For short durations of electrical input pulses, the peak value of the postsynaptic current (PSC) caused by a single pulse remains below the threshold of 3.5 × 10 −5 A, representing the "0" state.…”

Organic iontronic memristors for artificial synapses and bionic neuromorphic computing

“…Overall, OIM-based memristors have demonstrated great potential in various applications, such as data storage, artificial intelligence, neuromorphic computing, energy storage, sensors and other fields. 158,159 We believe that the challenges discussed here can be effectively solved through collaborative efforts. Future work on OIMs will undoubtedly continue to pave the way for further development of memristive devices, and we remain optimistic regarding the applications of these devices in the forthcoming years.…”