Results 151 to 160 of about 21,684 (244)

Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning. [PDF]

Front Neurosci
Loyola-Jara B, Fernández-Rodríguez G, Baladron J.   +2 more
europepmc   +1 more source

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High‐Fidelity Communication in the BNST‐NAc Circuit

Advanced Science, EarlyView.
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv, Yu Cao, Yuhan Wang, Yunhao Wu, Yingying Zhang, Kuanghao Ye, Xian Qiu, Qingfang Sun, Liuguan Bian, Halimureti Paerhati, Valerie Voon, Shikun Zhan, Bomin Sun   +12 more
wiley   +1 more source

All‐Optical Control of Bidirectional Polarization Switching in Ferroelectric Heterostructures for Neuromorphic and In‐Memory Computing

Advanced Science, EarlyView.
We propose an optical ferroelectric field‐effect transistor, composed of a MoS2/CIPS heterostructure, demonstrates the feasibility of all‐optical nonvolatile memory, neuromorphic computing, and logic‐in‐memory operations. The device exhibits reversible light‐controlled memory states, retina‐like synaptic plasticity, and wavelength‐selective ...
Jingjie Niu, Jiahui Lyu, Jie Li, Koyal Suman Samantaray, Cheolhwa Jang, Yoonmyung Lee, Ji‐Sang Park, Sungjoo Lee   +7 more
wiley   +1 more source

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks. [PDF]

Front Comput Neurosci
Zhang F, Cui J.
europepmc   +1 more source

Infrared Machine Vision System Based on Te NWs‐Au NPs Plasmonic Optoelectronic Memristor for Motion Detection

Advanced Science, EarlyView.
A plasmonic optoelectronic memristor based on Te nanowires‐Au nanoparticles/ι‐carrageenan enables IR‐programmed and visiblelight‐erased non‐volatile conductance. The all‐photonic write/erase scheme supports in‐sensor logic and real‐time motion detection in darkness.
Jingyao Bian, Yongxing Zhu, Ye Tao, Zhongqiang Wang, Xiaoning Zhao, Ya Lin, Haiyang Xu, Yichun Liu   +7 more
wiley   +1 more source

Neuromorphic computing paradigms enhance robustness through spiking neural networks. [PDF]

Nat Commun
Ding J, Yu Z, Liu JK, Huang T.
europepmc   +1 more source

Multi‐Physical Field Modulated P‐Bit Device Based on VO2 Thin Film

Advanced Science, EarlyView.
We have proposed a VO2‐based P‐bit device where synergistic multi‐physical field modulation enables real‐time tunability of randomness. Besides introducing a new phase‐change material‐based device approach for high‐performance P‐bits, this study also demonstrates a synergistic multi‐physical field modulation strategy that opens new opportunities for ...
Bowen Sun, Jianjun Li, Ting Zhou, Jinglin Zhu, Meiling Liu, Zhihan Lin, Chang Wang, Chengyu Li, Yingxue Chen, Xiaokun Huo, Chongwen Zou   +10 more
wiley   +1 more source

Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks. [PDF]

Front Neurosci
Dong Z, He W.
europepmc   +1 more source

Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases

Advanced Science, EarlyView.
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao, Victor Fernandez‐Gonzalez, Xiaochuan Wang, Blake Pylipow, Claudia Herrera, Xiaohu Xia   +5 more
wiley   +1 more source

Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications

Advanced Science, EarlyView.
ABSTRACT Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware‐level multi‐dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy consumption of 3.3 fJ ...
Bo Sun, Jinhao Zhang, Jialin Meng, Tianyu Wang   +3 more
wiley   +1 more source