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Computational Perspectives on Forebrain Microcircuits Implicated in Reinforcement Learning, Action Selection, and Cognitive Control
A computational model of use-dependent motor recovery following a stroke: Optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics

Sparse matrix computations for dynamic network centrality
The global dynamical complexity of the human brain network

The graphical brain: Belief propagation and active inference
Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Feasibility of Articulated Arm Mounted Oculus Rift Virtual Reality Goggles for Adjunctive Pain Control During Occupational Therapy in Pediatric Burn Patients
Switching between internal and external modes: A multiscale learning principle

Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in Caenorhabditis elegans
Connectivity and complex systems: learning from a multi-disciplinary perspective

Using a million cell simulation of the cerebellum: network scaling and task generality
Association of Coronary Artery Calcium With Long-term, Cause-Specific Mortality Among Young Adults

Effect of a Patient Decision Aid on Lung Cancer Screening Decision-Making by Persons Who Smoke: A Randomized Clinical Trial
Integrated Bayesian models of learning and decision making for saccadic eye movements()

Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms
Effect of Positron Emission Tomography Imaging in Women With Locally Advanced Cervical Cancer: A Randomized Clinical Trial

Of Bits and Wows: A Bayesian Theory of Surprise with Applications to Attention
A brief review of molecular information theory

Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry
Universal Approximation with Quadratic Deep Networks

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