NROSCI 1051 - FOUNDATIONS OF THEORETICAL NEUROSCIENCE

Minimum Credits: 3
Maximum Credits: 3
This course introduces advanced undergraduates to a selection of key ideas and mathematical models in theoretical neuroscience. It aims to give students a foundation for understanding current theoretical methods in the field. It will include discussions of the Hodgkin-Huxley model, neural network models, and the efficient coding hypothesis. While each topic could fill a course in its own right, we will focus in on specific questions relating to each topic. Students are not expected to enter the course with an extensive mathematical and programming background, rather the tools needed will taught through each of the topics. That said, this course will be rigorous and intensive so students should come with a strong interest in learning these mathematical tools.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: NROSCI 1000 or 1003 with a minimum grade of B-; MATH 0220 (or equivalent) with a minimum grade of B-.

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