Computational Neuroscience: From Channels to Networks
Course Number: NEURL-UA 302 Prerequisite: NEURL-UA 210 (Cellular and Molecular Neurobiology) or NEURL-UA 220 (Behavioral & Integrative Neural Science)
Semester: Spring
Description: Brain function is ultimately determined by ion channels that generate neuronal firing and by the synapses that allow information transfer between neurons in a network. To facilitate analyses of this extremely complex process, neuroscientists often use computer simulations to make predictions, design experiments, and importantly, to improve their intuition. In this course, students will build a network from the ground up. Using simulations, students will examine how ion channels affect the firing of neurons, how synapses control information flow, how neural networks generate complex firing patterns, and how memory is stored. ‘Skeleton’ programs will be provided by the instructor, which the student can easily modify to explore the various processes that affect function.
Note: No programming experience is necessary. Students will be taught basic programming techniques in Matlab when needed.