ELEN E9060 Representation and Processing of Olfactory Information

Course Benefits

  In-depth review of up-to-date models of olfaction in insects and vertebrates.
  Straighforward theoretical foundations of representation and processing in olfactory systems.
  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 I: Circuits in the Brain).
Description: Overview of the Olfactory System of the Drosophila. Modeling Olfactory Sensory Neurons. The Inverse t-Transform. The Phase Response Curve and Elements of Floquet Theory. Recovery of Stimuli Encoded with Hodgkin-Huxley Neurons. Ensemble Encoding with Hodgkin-Huxley Neurons. Modeling the Olfactory System. Input/Output Characterization of the Glomerular Network. Odor Encoding in the Olfactory System. Olfactory Processing and Memory in the Mushroom Body. Machine Olfaction.
Required text(s): ---
Homework(s): Reading of Research Papers
Paper(s): ---
Project(s) 2 Projects
Midterm exam: Project
Final Exam: Project
Grading Classroom Participation and Projects
Hardware requirements: Laptop for demos
Software requirements: Matlab (student version)