MOL/537/NEU 537/PSY517 Computational Neuroscience and Computing
An introduction to the biophysics of nerve cells and synapses and the mathematical descriptions of neurons and neural networks. How do networks of neurons represent information, and how do they compute with it? Course will survey computational modeling and data analysis methods for neuroscience, and will parallel some topics from 549 but from a computational perspective. Topics will include representation of visual information, spatial navigation, short-term memory, decision-making. Lectures in common with MOL 437. Graduate students will carry out and write up an in-depth semester-long project.