Results 151 to 160 of about 19,461 (275)

CMOS‐Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing

Advanced Science, EarlyView.
CMOS‐integrated Si QDs/ReS2 synaptic photoreceptor array mimics the parallel processing and wavelength‐selective strategy of insect vision. By combining intrinsic ultraviolet‐violet sensitivity with synaptic plasticity, the chip enables frontend sensory redundancy reduction without external filters, offering a scalable pathway toward lowpower ...
Jian Chai, Xinyi Xu, Yue Wang, Xiaochen Wang, Hailiang Wang, Yunfei Xie, Xinwei Zhang, Haoyu Wang, Hao Ning, Jiangming Lin, Yongliang Xie, Qihai Jiang, Baoshi Qiao, Xiaolei Ding, Luyao Ma, Shukai Duan, Zhenyi Ni, Huan Hu, Xin He, Fei Xue, Feichi Zhou, Lingfei Li, Srikrishna Chanakya Bodepudi, Rui Yuan, Bin Yu, Yang Xu   +25 more
wiley   +1 more source

Learning in Probabilistic Boolean Networks via Structural Policy Gradients. [PDF]

Entropy (Basel)
Rivera Torres PJ.
europepmc   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

Advanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari, Natalie Ness, Julieta Acosta, Marco Brancaccio   +3 more
wiley   +1 more source

Chaos theory modeling improves olecranodiaphyseal angle prediction from proximal ulnar dorsal angulation in healthy elbows. [PDF]

Sci Rep
Misir A, Hancerli CO.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Susceptible host dynamics explain pathogen resilience to perturbations. [PDF]

Proc Natl Acad Sci U S A
Park SW, Nielsen BF, Howerton E, Grenfell BT, Cobey S.   +4 more
europepmc   +1 more source

Memristive Physical Reservoir Computing

Advanced Science, EarlyView.
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao, Ziyuan Wang, Jingrui Wang, Li Zhang, Xianhua Wei, Lingxiang Hu, Zongxiao Li, Athanasios V. Vasilakos, Zhizhen Ye, Fei Zhuge   +9 more
wiley   +1 more source

Modeling and Verification of 1/f Noise Mechanisms in FAPbBr3 Single‐Crystal X‐Ray Detectors

Advanced Electronic Materials, EarlyView.
We demonstratethat surface‐trap‐induced carrier number fluctuations are the dominantmechanism in FAPbBr3 Schottky devices, a conclusion supported by thedistinct defect profiles revealed by Drive‐Level Capacitance Profiling (DLCP). Throughnoise contribution decomposition, it is found that the 1/f noise of thedetector is the key noise source affecting ...
Zhongyu Yang, Qingli Zhang, Yuting Liu, Binbin Liu, Zhiping Zheng, Guangda Niu, Ling Xu   +6 more
wiley   +1 more source

AI-Guided Inference of Morphodynamic Attractor-like States in Glioblastoma. [PDF]

Diagnostics (Basel)
Volovăț SR, Panaite DI, Ostafe MR, Buzea CG, Iancu DT, Agop M, Ochiuz L, Rusu DI, Volovăț CC.   +8 more
europepmc   +1 more source