Flexibly photo-regulated brain-inspired functions in flexible neuromorphic transistors

L Wang, T Zhang, J Shen, J Huang, W Li… - … Applied Materials & …, 2023 - ACS Publications
As an attractive prototype for neuromorphic computing, the difficultly attained three-terminal
platforms have specific advantages in implementing the brain-inspired functions. Also, in …

Bidirectionally modulated synaptic plasticity with optically tunable ionic electrolyte transistors

SM Kwon, SH Kang, SS Cho, YW Jang… - ACS Applied …, 2022 - ACS Publications
Recently, hardware implementation of neuromorphic device in the optical domain is
considered as one of the most promising routes to realize energy-efficient neuromorphic …

An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems

N Duan, Y Li, HC Chiang, J Chen, WQ Pan, YX Zhou… - Nanoscale, 2019 - pubs.rsc.org
The practical application of optoelectronic artificial synapses in neuromorphic visual systems
is still hindered by their limited functionality, reliability and the challenge of mass production …

High-density reconfigurable synaptic transistors targeting a minimalist neural network

E Li, W He, R Yu, L He, X Wu, Q Chen… - … Applied Materials & …, 2021 - ACS Publications
Enormous synaptic devices are required to build a parallel, precise, and efficient neural
computing system. To further improve the energy efficiency of neuromorphic computing, a …

Optoelectronic neuromorphic thin-film transistors capable of selective attention and with ultra-low power dissipation

JJ Yu, LY Liang, LX Hu, HX Duan, WH Wu, HL Zhang… - Nano Energy, 2019 - Elsevier
Compared to purely electrical neuromorphic devices, those stimulated by photon, pressure,
or/and chemical signals have gained burgeoning attentions due to their real sense …

Fully light modulated self-powered optoelectronic memristor for neuromorphic computing

C Lu, J Meng, T Wang, H Zhu, Q Sun… - IEEE Electron …, 2023 - ieeexplore.ieee.org
Conventional Von Neuman architectures are now experiencing significant challenges, and
memristor-based neuromorphic devices have demonstrated the advantages of enabling in …

[HTML][HTML] Flexible optoelectronic synaptic transistors for neuromorphic visual systems

X Liu, D Li, Y Wang, D Yang, X Pi - APL Machine Learning, 2023 - pubs.aip.org
Neuromorphic visual systems that integrate the functionalities of sensing, memory, and
processing are expected to overcome the shortcomings of conventional artificial visual …

Feedforward Photoadaptive Organic Neuromorphic Transistor with Mixed‐Weight Plasticity for Augmenting Perception

C Gao, D Liu, C Xu, J Bai, E Li, X Zhang… - Advanced Functional …, 2024 - Wiley Online Library
Organic photoelectric neuromorphic devices that mimic the brain are widely explored for
advanced perceptual computing. However, current individual neuromorphic synaptic …

Binary electronic synapses for integrating digital and neuromorphic computation in a single physical platform

C Wu, Y Zhang, X Zhou, D Li, JH Park… - … applied materials & …, 2020 - ACS Publications
As a promising advanced computation technology, the integration of digital computation with
neuromorphic computation into a single physical platform holds the advantage of a precise …

A HfS2-based photoelectronic synaptic transistor with tunable synaptic plasticity for emotional memory

Q Wang, R Jiang, Z Gao, M Deng, J Chen, L Zhu… - Applied Surface …, 2023 - Elsevier
Neuromorphic computing has attracted great attention to mimic the human brain functions of
perception, learning, and memory, which is considered to overcome the “von Neumann …