ELEN E9060: Dendritic Computation

Course Benefits

  In-depth review of up-to-date models of dendritic computation.
  Straighforward theoretical foundation to dendritic integration.
  Exploration of key concepts in theoretical neuroscience research.

Professor Lazar

  Interests in Computational Neuroscience: In Silico: Time Encoding and Information Representation in Sensory Systems, Spike Processing and Computation in the Cortex. In Vivo: Olfactory System of the Drosophila Melanogaster.
  Further information about the instructor is available under URL: http://www.ee.columbia.edu/~aurel.

Applicable Degree Programs

Most courses 4000-level and above can be credited to all degree programs. All courses are subject to advisor approval.

Lecturer: Professor Aurel A. Lazar
  Office hours: Mondays, 2:00 PM - 4:00 PM, EST, Room 819 CEPSR
  E-mail address: aurel "at" ee.columbia.edu
  Class Web Site: Offered by CourseWorks
Day and Time: Mondays, 4:10 PM - 6:00 PM
Class Location: 415 Schapiro (CEPSR)
Credits for course: 3 points
Prerequisites BMEB W4011 (Computational Neuroscience) or Biology W4004 (Neurobiology: Cellular and Molecular) or the instructor's approval.
Description: Introduction to Dendritic Computation: Why Have Dendrites? Passive Properties of Dendrites and the NEURON Environment. Active Properties of Dendrites and Action Potential Backpropagation. Models of Potential Propagation on Dendrites. The Biophysics of Computation (Seminar Roundtable Discussion). Dendritic Processing in the Glomerular Network. Dendritic Processing in Early Vision. Spike-Time Dependent Plasticity. Dendritic Processing and Learning (Seminar Roundtable Discussion).
Required text(s): ---
Homework(s): Reading of Research Papers
Paper(s): ---
Project(s) ---
Midterm exam: ---
Final Exam: Take-home exam
Grading Classroom Participation and Final Exam
Hardware requirements: Laptop for demos
Software requirements: Matlab (student version)