Results 251 to 260 of about 76,325 (312)

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

Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. [PDF]

Front Neuroinform
Plesser HE.
europepmc   +1 more source

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

, 2016
Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang, Jürgen Kurths   +4 more
openalex   +2 more sources

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

Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV. [PDF]

Sensors (Basel)
Peng C, Qiao G, Ge B.
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

A Reinforced, Event-Driven, and Attention-Based Convolution Spiking Neural Network for Multivariate Time Series Prediction. [PDF]

Biomimetics (Basel)
Li Y, Guan X, Yue W, Huang Y, Zhang B, Duan P.   +5 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

LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition. [PDF]

Front Neurorobot
Akcal U, Raikov IG, Gribkova ED, Choudhuri A, Kim SH, Gazzola M, Gillette R, Soltesz I, Chowdhary G.   +8 more
europepmc   +1 more source

Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks [PDF]

Yuzhe Liu, Xin Deng, Qiang Yu
openalex