Results 211 to 220 of about 46,112 (290)
Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans. [PDF]
Beinnes GK, Skjegstad C, Frühholz S.
europepmc +1 more source
Neural Decoding Reveals Concurrent Phonemic and Subphonemic Representations of Speech Across Tasks. [PDF]
Beach SD +5 more
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation [PDF]
MacIntyre AD, Carlyon RP, Goehring T.
europepmc +2 more sources
Neural decoding of Aristotle tactile illusion using deep learning-based fMRI classification. [PDF]
Lee E, Kim JH, Park J, Kim SP, Shin T.
europepmc +1 more source
stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang +3 more
wiley +1 more source
Efficient Neural Decoding Based on Multimodal Training. [PDF]
Wang Y.
europepmc +1 more source
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Neural Decoding of Spontaneous Overt and Intended Speech. [PDF]
Dash D, Ferrari P, Wang J.
europepmc +1 more source

