A parameter-optimization framework for neural decoding systems. [PDF]
Xie J, Chen R, Bhattacharyya SS.
europepmc +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding. [PDF]
Kim AH +4 more
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Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. [PDF]
Akamatsu Y +3 more
europepmc +1 more source
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source
Reliability-Aware Neural Decoding with Adaptive Multi-Source Information Fusion. [PDF]
Fu P +6 more
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Neural decoding reveals specialized kinematic tuning after an abrupt cortical transition. [PDF]
Glanz RM, Sokoloff G, Blumberg MS.
europepmc +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
Evolution of brain-computer interface technologies for stroke rehabilitation: a bibliometric integration of neural decoding and functional recovery (2016-2025). [PDF]
Pan Y, Huang Y, Bao M, Sun X.
europepmc +1 more source
Jump-GRS: a multi-phase approach to structured pruning of neural networks for neural decoding. [PDF]
Wu X, Lin DT, Chen R, Bhattacharyya SS.
europepmc +1 more source

