EEBM E6020: Methods of Computational Neuroscience


---
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
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: Introduction to Dynamical Systems in Neuroscience, Electrophysiology of Neurons, One-Dimensional Systems, Two-Dimensional Systems, Conductance-Based Models and Their Reductions, Bifurcations, Neuronal Excitability, Simple Models, Bursting, Synchronization. Major project(s) in Matlab.
Required texts: Izhikevich E.M., Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting, The MIT Press, Cambridge, MA, 2007.
Homework(s): ---
Paper(s): ---
Project(s) 2 Projects
Midterm exam: Project
Final Exam: Project
Grading The final grade has two components: midterm project and final project. Weighting: 1/2 for each project.
Hardware requirements: Laptop for demos and discussions
Software requirements: Matlab (student version) or Python