Results 151 to 160 of about 129,225 (287)

Adaptive and lightweight surrogate gradients: enhancing training efficiency of spiking neural networks. [PDF]

Front Neurosci
Hou K, Wu K, Zhou Y.
europepmc   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning. [PDF]

Sci Adv
Balwani A, Wang AQ, Najafi F, Choi H.
europepmc   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

InfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li, Guobin Zhang, Zhihao Gong, Zijian Wang, Xuemeng Fan, Qi Luo, Zhejia Zhang, Dawei Gao, Mingkun Xu, Hua Wang, Shuai Zhong, Qing Wan, Yishu Zhang   +12 more
wiley   +1 more source

Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study. [PDF]

Sci Rep
Alzate-Grisales JA, Mora-Rubio A, Perán-Teruel M, Beltrán AN, Torres CR, García JMO, García-García F, Tabares-Soto R, García-Gómez JM, de la Iglesia-Vayá M.   +9 more
europepmc   +1 more source

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

InfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu, Weilong Huang, Feihong Zhu, Yongjie Cai, Xiaolong Li, Yang Yang, Xiao Ma, Zhixiang Wei, Wei Chen, Huipeng Chen   +9 more
wiley   +1 more source

Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. [PDF]

Sci Rep
Kumru E, Ekinci F, Aydoğan A, Güzel MS, Sevindik M, Akata I.   +5 more
europepmc   +1 more source

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +1 more source

Stochasticity in action potential backpropagation: consequences for neuronal computation. [PDF]

Front Cell Neurosci
Antic SD, Milicevic KD, Lytton WW.
europepmc   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source