Results 261 to 270 of about 85,686 (325)

NeoHebbian synapses to accelerate online training of neuromorphic hardware. [PDF]

Sci Rep
Pande S, Bezugam SS, Bhattacharya T, Wlazlak E, Chakravorty A, Chakrabarti B, Strukov D.   +6 more
europepmc   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Synaptic behavior in dye-sensitized solar cell-based optoelectronic artificial synaptic devices towards self-powered physical reservoir computing

Norika Hosoda, Hiroaki Komatsu, Takashi Ikuno   +2 more
openalex   +1 more source

Metaplastic synaptic behaviour operational in FM devices

The dependence of the switching probability on the MI state of the gate will be evaluated for each of the proposed schemes [UPSaclay, CEITEC]. The device design will be adapted based on the most performing dependences used in metaplastic algorithms and based on biological neural models [UPSaclay, FZJ, UZH, HawAI.tech].
openaire   +1 more source

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Polarizable Thiol-Ene Cross-Linked Nitrile Dielectrics for Stretchable Low-Voltage Neuromorphic Transistors with Acoustic Classification. [PDF]

ACS Appl Mater Interfaces
Liu CJ, Hsiao SW, Chen QG, Hong QA, Lin YT, Chueh CC, Ng CT, Chang TT, Kim SH, Chiu YC, Lee WY.   +10 more
europepmc   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials, EarlyView.
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
wiley   +1 more source

Structure-Function Coupling in Pyridyl Triazole Copolymers for Neuromorphic Synaptic Transistors. [PDF]

ACS Appl Electron Mater
Ghobadi A, Attar S, Abhi A, Kallaos TB, Gamachchi DM, Karunarathne IM, Meng AC, Mathai JC, Gangopadhyay S, Kelley SP, Al-Hashimi M, Guha S.   +11 more
europepmc   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Gate insulator stack engineering for fully CMOS-compatible reservoir computing. [PDF]

Nano Converg
Hwang J, Park MK, Kim J, Bae JH, Lee JH.
europepmc   +1 more source