BIOINF 800 - Special Topics
Section: 001
Term: FA 2008
Subject: Bioinformatics and Computational Biology (BIOINF)
Department: MED Bioinformatics
1 - 8 (Non-LSA credit).
Requirements & Distribution:
Class Misc Info:
Computational neuroscience.
Other Course Info:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Grading basis of 'S' or 'U'.
May be repeated for a maximum of 8 credit(s).
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. As such, this course introduces students to modeling and quantitative techniques used to investigate neural activity at 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 multicompartmental models, probabilistic models for ion channel gating, reductions of the Hodgkin-Huxley model, phase plane analysis, linear stability of equilibrium points, bifurcation analysis, synaptic currents, excitatory and inhibitory network dynamics, integrate-and-fire networks, firing rate models.

No required textbook. Readings and homework problems will be selected from a number of different texts including:

1. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by P. Dayan and L. Abbott (MIT Press, 2005).

2. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting by Eugene Izhikevich (MIT Press, 2007).

3. Biophysics of Computation by C. Koch (Oxford University Press, 1999).

4. Methods in Neuronal Modeling, C. Koch and I. Segev, eds. (MIT Press, 1999). Numerical implementation and analysis of the models presented in the lectures will be an integral part of the course. MATLAB experience helpful but not required. Course requirements will include homework assignments containing a combination of analytical and numerical-based problems, a longer-term modeling project and an oral presentation of the project to the class at the end of the semester.

Questions? Contact Victoria Booth, Department of Mathematics, 4075 East Hall,

BIOINF 800 - Special Topics
Schedule Listing
001 (LEC)
MWF 10:00AM - 11:00AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.
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 800. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)