NSCI 401:
Introduction to Modelling in Neuroscience
This course will provide an introduction to the main modelling
approaches and theoretical concepts in Neuroscience. Among other
topics, we will discuss the computational anatomy of the brain and how
it implements perception, learning, memory, decision making and motor
control.
Lectures and seminar. Offered in Fall Term.
Prerequisite: MATH 122, STAT 263 or equivalent; or permission of course
director
NSCI 800: Guest lecture on
multi-sensory integration
NSCI 850:
Computational
Approaches to
Neuroscience
This course will provide an overview and hands on experience of the
most important computational approaches in Neuroscience. The main
topics covered include single cell and neural network modelling,
Bayesian approaches, State Space modelling and Optimal Control Theory.
More specific modelling approaches will also be discussed as well as
some widely used computational data analysis methods.
Lectures and seminar. Offered in Winter Term.
Prerequisite: permission of course coordinator.
