Results 51 to 60 of about 768 (137)
Synaptic Function in Memristor Devices for Neuromorphic Circuit Applications
Discover how neuromorphic devices mimic brain‐like learning: this article explores how ionic and electronic conduction processes enable artificial synapses to adapt across time scales. Uncover the essential ingredients—state‐variable dynamics, rectification, and memory—and how they can be probed through nonlinear diagnostics to engineer smarter, more ...
Juan Bisquert +3 more
wiley +1 more source
Modeling foot sole cutaneous afferents: FootSim
Summary: While walking and maintaining balance, humans rely on cutaneous feedback from the foot sole. Electrophysiological recordings reveal how this tactile feedback is represented in neural afferent populations, but obtaining them is difficult and ...
Natalija Katic +6 more
doaj +1 more source
If we understand the structural rules governing antibody (Ab)-antigen (Ag) interactions in a given virus, then we have the molecular basis to attempt to design and synthesize new epitopes to be used as vaccines or optimize the antibodies themselves for ...
CALZOLAI Luigi +5 more
core +1 more source
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Summary: Prion diseases, or transmissible spongiform encephalopathies (TSEs), are neurodegenerative disorders caused by the accumulation of misfolded conformers (PrPSc) of the cellular prion protein (PrPC).
Basile Fornara +6 more
doaj +1 more source
A Kmer-based paired-end read de novo assembler and genotyper for canine MHC class I genotyping
Summary: The major histocompatibility complex class I (MHC-I) genes are highly polymorphic. MHC-I genotyping is required for determining the peptide epitopes available to an individual’s T-cell repertoire.
Yuan Feng +4 more
doaj +1 more source
Structural aspects of the Huntingtin protein investigated by biocomputing methods
Huntington’s disease (HD) is a neurodegenerative disorder which leads to death within a couple of decades. It causes uncontrolled movements, loss of intellectual faculties and emotional disturbance. HD is a familial disease, passed from parent to child through a mutation in a specific gene, the HTT gene. This gene provides the genetic information for a
openaire +2 more sources
Multistable Physical Neural Networks
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran +3 more
wiley +1 more source
Using active learning methodologies to teach sequence analysis and molecular phylogeny
Abstract The great development of high‐throughput molecular biology techniques and the consequent generation of massive data have made Bioinformatics essential for undergraduate Bioscience students. The importance of this scientific discipline is evidenced by the huge number of specialized publications, tools, and databases available.
Inmaculada Ortiz Martín +3 more
wiley +1 more source
See the small lesions: Frequency-guided spatial debiasing GAN for multimodal medical image fusion
Summary: Multimodal medical image fusion uses these features from different modalities to generate fused images with richer information for diagnosis. However, in medical images, the lesion area only constitutes a small portion, and feature extraction is
Tao Zhou +6 more
doaj +1 more source

