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Found 5 papers, 1 papers with code
Diurnal variations of resting-state fMRI data: A graph-based analysis
Also, connectivity and hub analyses showed that the somatomotor, ventral attention, and visual networks are the most densely-connected brain areas in both sessions, respectively, with the first being more active in the evening session and the two latter in the morning session.
Convalescent Blood Treatment for COVID-19: Are Local Donors Enough?
COVID-19 is now a global pandemic, and an effective vaccine may be many months away.
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
The increasing use of deep neural networks (DNNs) has motivated a parallel endeavor: the design of adversaries that profit from successful misclassifications.
Cognitive computational neuroscience
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments.
Neurons and Cognition
Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms
Spatial sparse coding algorithms ($L1$ Regularized Learning and K-SVD) would impose local specialization and a discouragement of multitasking, where the total observed activity in a single voxel originates from a restricted number of possible brain networks.
