BIOINF 568 - Mathematical and Computational Neuroscience
Section: 001
Term: FA 2019
Subject: Bioinformatics and Computational Biology (BIOINF)
Department: MED Bioinformatics
Requirements & Distribution:
Waitlist Capacity:
Enforced Prerequisites:
MATH 463 or 462 (for undergraduate students) or Graduate standing.
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
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)
MW 10:00AM - 11:30AM
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