Results 101 to 110 of about 3,906,906 (309)

Distributed Temporal Coding of Visual Memory Categories in Human Hippocampal Neurons Revealed by an Interpretable Decoding Model

Advanced Science, EarlyView.
This study examines how the human hippocampus encodes visual memory categories. By decoding spiking activity from CA3 and CA1 neurons using an interpretable model, it reveals that category‐specific representations emerge from distributed temporal coding.
Xiwei She, Bryan J. Moore, Brent M. Roeder, George Nune, Brian S. Robinson, Brian Lee, Susan Shaw, Hui Gong, Christianne N. Heck, Gautam Popli, Daniel E. Couture, Adrian W. Laxton, Vasilis Z. Marmarelis, Samuel A. Deadwyler, Charles Liu, Theodore W. Berger, Robert E. Hampson, Dong Song   +17 more
wiley   +1 more source

PRO‐LDM: A Conditional Latent Diffusion Model for Protein Sequence Design and Functional Optimization

Advanced Science, EarlyView.
PRO‐LDM is a modular latent diffusion framework that learns hierarchical biological representations to enable efficient and high‐fidelity protein design. PRO‐LDM can design species that resemble natural sequences with enhanced diversity or optimize protein functions.
Sitao Zhang, Zixuan Jiang, Rundong Huang, Wenting Huang, Siyuan Peng, Shaoxun Mo, Letao Zhu, Peiheng Li, Ziyi Zhang, Emily Pan, Xi Chen, Yunfei Long, Qi Liang, Jin Tang, Renjing Xu, Rui Qing   +15 more
wiley   +1 more source

A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals

Advanced Science, EarlyView.
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang, Xue‐Jing Lu, Hui‐Juan Zhang, Zhao‐Xing Wei, Ya‐Zhuo Kong, Yi‐Heng Tu, Gian Domenico Iannetti, Li Hu   +7 more
wiley   +1 more source

An Introduction to Mathematical Probability.

Journal of the Royal Statistical Society, 1925
A. Z., J. L. Coolidge
openaire   +4 more sources

P87Cardiotocography in pregnancies with absent or reversed end‐diastolic velocity in the umbilical artery: a mathematical model for estimating the probability for fetal acidosis at birth [PDF]

, 2000
R. M. Yamamoto, Rossana Pulcineli Vieira Francisco, C. C. Chuba, Seizo Miyadahira, Marcelo Zugaib   +4 more
openalex   +1 more source

Smart Health Evaluation for Lithium‐Ion Battery With Super‐Short‐Segment Charging

Advanced Science, EarlyView.
This study proposes a health feature extraction method integrating degradation mechanism‐guided scale‐invariant feature transform with machine learning for lithium‐ion batteries. Validated across 87 commercial cells with diverse chemistries and formats, it achieves 1.97% RMSE in capacity estimation using only 10% charging segments. The approach enables
Qinghua Li, Zhongbao Wei, Hongwen He, Jun Shen, Yang Li, Xiaoguang Yang, Mahinda Vilathgamuwa   +6 more
wiley   +1 more source

Mathematical Apparatus for Error Probability Determination of Block Code Decoders [PDF]

, 2001
Mária Franeková
openalex   +1 more source

A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology

Advanced Science, EarlyView.
A systematic computational framework is developed for practical identifiability analysis in biological models. The framework establishes a rigorous definition, introduces efficient coordinate‐based identifiability metrics, and proposes novel regularization strategies.
Shun Wang, Wenrui Hao
wiley   +1 more source

P42.05 Investigating the Accuracy of Clinical Mathematical Models for Estimating the Probability of Malignancy in Patients With Pulmonary Nodules [PDF]

, 2021
K. Zhang, Zihan Wei, Yuntao Nie, Haifeng Shen, Xin Wang, J. Wang, K. Chen, Fan Yang   +7 more
openalex   +1 more source

ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework

Advanced Science, EarlyView.
DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu, Zongyuan Yu, Canzhuang Sun, Conglin Gou, Jiangyue Zhu, Jun Wang, Xiaochen Bo, Guoxian Yu, Hao Li, Hebing Chen   +9 more
wiley   +1 more source