The Low-Dimensional Neural Architecture of Cognitive Complexity Is Related to Activity in Medial Thalamic Nuclei
Sign Up to like & getrecommendations! Published in 2019 at "Neuron"
DOI: 10.1016/j.neuron.2019.09.002
Abstract: Cognitive activity emerges from large-scale neuronal dynamics that are constrained to a low-dimensional manifold. How this low-dimensional manifold scales with cognitive complexity, and which brain regions regulate this process, are not well understood. We addressed… read more here.
Keywords: dimensional manifold; cognitive complexity; low dimensional; activity ... See more keywords
MRI Reconstruction From Sparse K-Space Data Using Low Dimensional Manifold Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925051
Abstract: Recent compressed sensing (CS) approaches to utilize the similarity and redundancy of magnetic resonance (MR) image patches to enable reconstruction from sparse k-space measurements. In this paper, the patches’ similarity and redundancy are exploited by… read more here.
Keywords: manifold; reconstruction sparse; dimensional manifold; low dimensional ... See more keywords
Low Dimensional Manifold Regularization Based Blind Image Inpainting and Non-Uniform Impulse Noise Recovery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035532
Abstract: Blind image inpainting is a challenging task in image processing. Motivated by the excellent performance of low dimensional manifold model (LDMM) in image inpainting for large-scale pixels missing, we introduce a novel blind inpainting model… read more here.
Keywords: image inpainting; dimensional manifold; low dimensional; image ... See more keywords