Results 171 to 180 of about 21,684 (244)

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

Advanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu, Lifang Hu, RuoXuan Zhao, ZhiYong Hou, JinYu Tian   +4 more
wiley   +1 more source

Covariant spatio-temporal receptive fields for spiking neural networks. [PDF]

Nat Commun
Pedersen JE, Conradt J, Lindeberg T.
europepmc   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

TDE-3: an improved prior for optical flow computation in spiking neural networks. [PDF]

Front Neurosci
Yedutenko M, Paredes-Vallés F, Khacef L, de Croon G.   +3 more
europepmc   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data. [PDF]

Front Neurosci
Khan A, Shim V, Fernandez J, Kasabov NK, Wang A.   +4 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

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits. [PDF]

Front Neurosci
M Ferreira P, Wang S, Gao Y, Benlarbi-Delai A.   +3 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

Efficient and robust temporal processing with neural oscillations modulated spiking neural networks. [PDF]

Nat Commun
Yan Y, Yang Q, Wu Y, Liu H, Zhang M, Li H, Tan KC, Wu J.   +7 more
europepmc   +1 more source