ELEN E6080 Methods of Signal Processing in Computational Neuroscience

Course Benefits

Focuses on the intuitive understanding of the theoretical foundations of frames.
Provides a straighforward introduction to spike processing and neural computation.
Enables the further exploration of key concepts at the frontiers of theoretical neuroscience.

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://comet.columbia.edu/~aurel.

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

Lecturer

Day and time:

Fridays, 9:30 AM - 11:30 AM

Class location:

415 Schapiro (CEPSR)

Credits for course:

3 points

Prerequisites:

BMEB W4011 (Computational Neuroscience) or ELEN E4810 (Digital Signal Processing) or the instructor's approval.

Description:

TBA

Required text(s):

Anthony Teolis, Computational Signal Processing with Wavelets, Birkhauser, Boston, MA, 1998.

Homework(s):

TBA

Paper(s):

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Project(s):

One Major Individual or Group Project.

Midterm exam:

Take Home Exam.

Final Exam:

Project Presentation.

Grading:

TBA

Hardware requirements:

Laptop for demos.

Software requirements:

Matlab (student version).