Results 131 to 140 of about 209,949 (335)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo +3 more
wiley +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Predictable sequential structure augments auditory sensitivity at threshold
Summary: Human hearing is highly sensitive and allows us to detect acoustic events at low levels. However, sensitivity is not only a function of the integrity of cochlear transduction mechanisms but is also constrained by central processes such as ...
Nadège Marin +7 more
doaj +1 more source
Association between Anemia and Auditory Threshold Shifts in the US Population: National Health and Nutrition Examination Survey. [PDF]
Shih JH +7 more
europepmc +1 more source
Masked auditory thresholds in three species of birds, as measured by the auditory brainstem response (L) [PDF]
Isabelle Noirot +2 more
openalex +1 more source
ABSTRACT TSPEAR (chr. 21q22.3) encodes a protein involved in tooth development and is predominantly expressed in the enamel knot. Biallelic loss of function variants in TSPEAR cause ectodermal dysplasia, tooth agenesis and sensorineural hearing loss. However, the role of TSPEAR in auditory processes is unclear.
Debora Vergani +17 more
wiley +1 more source
ABSTRACT A comprehensive synthesis of the broad range of neurodevelopmental and psychiatric manifestations in NF1 is needed to identify knowledge gaps and future directions for NF1 research. In the following scoping review, we identify and summarize the scope of research that examines neurodevelopmental and psychiatric manifestations, both as ...
Meera Chopra +5 more
wiley +1 more source
Investigating computational models of perceptual attack time [PDF]
The perceptual attack time (PAT) is the compensation for differing attack components of sounds, in the case of seeking a perceptually isochronous presentation of sounds. It has applications in scheduling and is related to, but not necessarily the same as,
Collins, Nick
core +2 more sources

