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Self‐Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges

open access: yesSmall, EarlyView.
This review outlines how triboelectric self‐powered tactile sensors can be integrated with neuromorphic devices to emulate human touch. It summarizes current coupling strategies, operational modes, and synaptic functions enabled by triboelectric nanogerator (TENG)‐based systems, while highlighting key mechanisms, performance considerations, and future ...
Fabrizio Torricelli, Giuseppina Pace
wiley   +1 more source

Synaptic facilitation and learning of multiplexed neural signals. [PDF]

open access: yesFront Netw Physiol
Crook N, Rast AD, Elia E, Aoun MA.
europepmc   +1 more source

Enhanced 2D MoTe<sub>2</sub> Analogue Switching through Laser Processing and ALD-Passivation for Dual-Function Neuromorphic Devices. [PDF]

open access: yesNano Lett
Radwan M   +10 more
europepmc   +1 more source
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Quantum Artificial Synapses

Advanced Quantum Technologies, 2021
Abstract Neuromorphic in‐memory computing systems, comprising artificial synapses and neurons, can overcome the energy inefficiency and throughput limitation of today's von Neumann computing architecture. Recently, powered by the unique properties of quantum materials, for example, high mobility, outstanding sensitivity, and strong ...
You Meng   +4 more
openaire   +1 more source

Photothermally Activated Artificial Neuromorphic Synapses

Nano Letters, 2023
Biological nervous systems rely on the coordination of billions of neurons with complex, dynamic connectivity to enable the ability to process information and form memories. In turn, artificial intelligence and neuromorphic computing platforms have sought to mimic biological cognition through software-based neural networks and hardware demonstrations ...
Brian W. Blankenship   +9 more
openaire   +2 more sources

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