The field of computational neuroscience explores the neural code that allows the brain to solve various problems such as information representation, learning, and decision-making. In this course, we will survey modeling techniques from systems theory and machine learning, and investigate their use in exploring diverse brain functions including information processing and neural computations in sensory networks, behavioral and cognitive networks, as well as development and plasticity functions.
Course Structure:
The format of the course is informal. It will meet weekly for approximately 2 hours. Students will read selected papers and will be assigned on a rotating basis to lead the discussion, which will account for 50% of the grade. A term project will constitute the other 50% of the grade.
