Results 161 to 170 of about 353,600 (351)
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid +12 more
wiley +1 more source
Color stability of Bos indicus bull steaks in modified atmosphere packaging (MAP)
Evaluations of meat quality, including color, influence purchasing decisions and can be affected by type of fresh meat the packaging system.In thisstudy,fresh steaks from Bos indicusbull were packaged in the vacuum (vacuum), 75%
Priscila Robertina dos Santos +2 more
doaj
Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay
An AI‐facilitated real‐time digital micromotor tracking‐enabled immunoassay is developed, which leverages a self‐developed multi‐microparticle tracking system to monitor micromotor motion trajectories in a real‐time manner for digital protein analysis.
Jingjing Shi +6 more
wiley +1 more source
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans +8 more
wiley +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source

