EEBM E6020: Methods of Computational Neuroscience


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Lecturer: Professor Aurel A. Lazar
  Office hours: Wednesdays, 4:00 PM - 6:00 PM, EST, Room 819 Schapiro
  E-mail address: aurel "at" ee.columbia.edu
  Class Web Site: Offered by CourseWorks
Day and Time: Mondays, 7:00 PM - 9:30 PM (first lecture 01/28/13)
Class Location: ENG 253
Credits for course: 4.5 points
Prerequisites [ELEN E3801 Signals and Systems] or [Biology W3004 Neurobio I: Cellular and Molecular (plus Matlab or Python)] or [BMEB W4020 Computational Neuroscience: Circuits in the Brain] or [the instructor's approval].
Description: Passive and Active Isopotential Cells, The Passive Cable, Passive and Active Dendritic Trees, Synaptic Transmission and Quantal Release, Neuronal Calcium Signaling, Phototransduction, Models of Simple and Complex Cells, Neuronal Networks. Major project(s) in Matlab.
Required texts: Fabrizio Gabbiani and Steven J. Cox, Mathematics for Neuroscientists, Academic Press, New York, 2010.
Homework(s): TBA
Paper(s): ---
Project(s) 2 Projects
Midterm exam: Project
Final Exam: Project
Grading The homework grade is based on the average of the best 10 out of 12 homeworks. The final grade has three components: homework, project #1 and project #2. Weighting: 1/5 homework, 2/5 for each project.
Hardware requirements: Laptop for demos and discussions
Software requirements: Matlab (student version) or Python