Explores interregional interactions in the motor system, including anatomical connections, functional networks, and the impact of reward on motor learning.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the role of practice and training in rehabilitation, emphasizing the importance of effortful training and the use of stimulation to enhance motor function.
Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.