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.
ibruce@mail.ece.mcmaster.ca
A basic undergraduate understanding of electrical circuits, linear systems, ordinary and partial differential equations, probability and random processes, and the ability to program in Matlab.
Assignments (3 × 20% = 60%); Project (40%).
II.
There will be one 2.5-hour lecture per week over ten weeks at 10:00am–12:30pm on Mondays in ITB-A311.
PDFs of the lecture slides will be posted here before each lecture.
Slides for:
Lecture #1 (Tuesday, January 13); Lecture #2 (Monday, January 28) - no new slides
Lecture #3 (Monday, January 26); Lecture #4 (Monday, February 2) - no new slides
Lecture #5 (Monday, February 9); Monday, February 16 - no lecture (Reading Week)
Lecture #6 (Monday, February 23); Lecture #7 (Monday, March 2)
Lecture #8 (Monday, March 9); Lecture #9 (Monday, March 16)
Lecture #10 (Monday, March 23)
Useful Matlab file: quiver_scaled.m
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Last updated Sunday, March 22, 2009