Skip to main content
Princeton Mobile homeCourses home

Systems Neuroscience: Computing with Populations of Neurons

NEU 437/MOL 437/PSY 437

Info tab content
Introduction to a mathematical description of how networks of neurons can represent information and compute with it. Course will survey computational modeling and data analysis methods for neuroscience. Example topics are short-term memory and decision-making, population coding, modeling behavioral and neural data, and reinforcement learning. Classes will be a mix of lectures from the professor, and presentations of research papers by the students. Two 90 minute lectures, one laboratory. Lectures in common between NEU 437/NEU 537.
Instructors tab content
Sections tab content

Section B01

Section L01