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 Fridays in ITB-A311.
Slides for:
Lecture #1 (Friday, January 12); Lecture #2 (Friday, January 19)
Lecture #3 (Friday, January 26) - no new slides; Lecture #4 (Friday, February 2)
Lecture #5 (Friday, February 9); Lecture #6 (Friday, March 2) - no new slides
Lecture #7 (Friday, March 9); Lecture #8 (Friday, March 16)
Lecture #9 (Friday, March 23); Organizational Meeting #2 (Friday, March 30)
Lecture #10 (Friday, April 13)
Useful Matlab file: quiver_scaled.m
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The following illustrates only three forms of academic dishonesty:
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other credit has been obtained.
2. Improper collaboration in group work.
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Last updated Friday, March 30, 2007