Search · four archives
Search · four archives
4 papers · ranked by Valyu relevance
Eliezer Masliah
How transient neural representations become integrated and stable enough to function as internal neural models remains incompletely understood. Grounded in efficient coding, Bayesian and predictive frameworks, recurrent and attractor dynamics, neural state-space models, and systems neuroscience, the Principle of…
Yi Ren, Zimei Chen, Hayden Deans, Ying Nian Wu + 1 more
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoretical studies focused on how the recurrent circuits compute the…
Milica Kotur, Strahinja Odalovic, Jelena Petrovic, Nikola Pantic + 4 more
Background This study aimed to evaluate differences among three patient groups with suspected recurrent esophageal carcinoma, defined by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) findings, in quantitative and semiquantitative PET/CT parameters and serum tumor markers, and…
Ella Wilczynski, Kulam Najmudeen Magdoom, Alexandru V Avram, Nathan H Williamson + 3 more
To demonstrate the feasibility of whole-brain multidimensional T_1_-T_2_ relaxation imaging on a portable 0.064 T MRI scanner. A two-dimensional inversion-recovery, fast spin-echo acquisition was used to jointly encode T_1_ and T_2_ relaxation. Joint relaxation distributions were reconstructed voxel-wise using…