Results 91 to 100 of about 1,314,055 (250)
Advanced Science, EarlyView.Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun +7 more
wiley +1 more source
Sweetspot Mapping in Deep Brain Stimulation: Strengths and Limitations of Current Approaches
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives Open questions remain regarding the optimal target, or sweetspot, for deep brain stimulation (DBS) in, for example, Parkinson's disease. Previous studies introduced different methods of mapping DBS effects to determine sweetspots. While having a direct impact on surgical targeting and postoperative programming in DBS, these methods ...
Till A. Dembek +7 more
wiley +1 more source
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Advanced Science, EarlyView.Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger +17 more
wiley +1 more source
On-sensor binarized CNN inference with dynamic model swapping in pixel processor arrays
Frontiers in Neuroscience, 2022 Many types of Convolutional Neural Network (CNN) models and training methods have been proposed in recent years aiming to provide efficiency for embedded and edge devices with limited computation and memory resources.
Yanan Liu +6 more
doaj +1 more source
Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets
Advanced Science, EarlyView.A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai +18 more
wiley +1 more source
Training Hardware for Binarized Convolutional Neural Network Based on CMOS Invertible Logic
IEEE Access, 2020 In this article, we implement fast and power-efficient training hardware for convolutional neural networks (CNNs) based on CMOS invertible logic. The backpropagation algorithm is generally hard to implement in hardware because it requires high-precision ...
Duckgyu Shin +3 more
doaj +1 more source
Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans
Advanced Science, EarlyView.This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang +17 more
wiley +1 more source
Topological Alterations of Working Memory Impairment in Aged Patients With Vascular Dementia
Frontiers in Aging Neuroscience, 2021 Aneurysmal subarachnoid hemorrhage (aSAH) is a common disease causing vascular dementia. Survivors often suffer from cognitive impairment especially working memory deficit.
Cao Zheng +4 more
doaj +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Advanced Science, EarlyView.Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
Advanced Science, EarlyView.A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source