BIOINF 568 - Mathematical and Computational Neuroscience
Section: 001
Term: FA 2019
Subject: Bioinformatics and Computational Biology (BIOINF)
Department: MED Bioinformatics
Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
10
Enforced Prerequisites:
MATH 463 or 462 (for undergraduate students) or Graduate standing.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Computational neuroscience investigates the brain at many different levels, from single cell activity to small, local network computation to the dynamics of large neuronal populations. This course introduces modeling and quantitative techniques used to investigate neural activity at all these different levels.

Topics to be covered include: Passive membrane properties, the Nernst potential, derivation of the Hodgkin-Huxley model, action potential generation, action potential propagation in cable and multi-compartmental models, reductions of the Hodgkin-Huxley model, synaptic currents, excitatory and inhibitory network dynamics, synaptic plasticity, neural coding.

No book for this course

For more information on this course, please visit the Department of Mathematics webpage

BIOINF 568 - Mathematical and Computational Neuroscience
Schedule Listing
001 (LEC)
P
26272
Closed
0
 
-
MW 10:00AM - 11:30AM
The partner U-M / Barnes & Noble Education textbook website is the official way for U-M students to view their upcoming textbook or course material needs, whether they choose to buy from Barnes & Noble Education or not. Students also can view a customized list of their specific textbook needs by clicking a "View/Buy Textbooks" link in their course schedule in Wolverine Access.

Click the button below to view and buy textbooks for BIOINF 568.001

View/Buy Textbooks
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for BIOINF 568. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The Atlas system, developed by the Center for Academic Innovation, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (Atlas)