To provide a solid conceptual and quantitative background in the modeling of biological neurons and how they function as computational devices. Practical experience will be gained in modeling neurons from a number of perspectives, including equivalent electrical circuits, nonlinear dynamical systems, and random processes, and an introduction to the mathematics required to understand and implement these different engineering methodologies will be given.
Dr. Ian Bruce,
ITB-A213, ext. 26984.
A basic undergraduate understanding of electrical circuits, linear systems, ordinary and partial differential equations, probability and random processes, and some ability to program (preferably in Matlab).
Assignments (3 × 20% = 60%); Project (40%).
There will be one 2.5-hour lecture per week at 9:30am–12:00pm on Wednesdays in BSB-117a, starting on January 11.
PDFs of the lecture slides will be posted here before each lecture.
Slides for:Lecture #1 (Wednesday, January 11); Lecture #2 (Wednesday, January 18) — continuing with slides from previous lecture
Lecture #3 (Wednesday, January 25); Lecture #4 (Wednesday, February 1) — continuing with slides from previous lecture
Lecture #5 (Wednesday, February 8); Wednesday, February 15 — no lecture due to conference attendance
Lecture #6 (Wednesday, February 22) — continuing with slides from previous lecture
Lecture #7 (Wednesday, March 1); Lecture #8 (Wednesday, March 8) — continuing with slides from previous lecture
Wednesday, March 15 and Wednesday, March 22 — no lecture
Lecture #9 (Wednesday, March 29)
Rinzel & Ermentrout book chapter: RinzelErmentrout1998.pdf
Useful Matlab file: quiver_scaled.m
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Last updated Tuesday, March 7, 2017