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. |
| | | 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 |
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Office hours: |
Mondays, 2:00 PM - 4:00 PM, EST, Room 819 CEPSR |
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E-mail address: |
aurel "at" ee.columbia.edu |
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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): |
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Homework(s): |
Reading of Research Papers |
Paper(s): |
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Project(s) |
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Midterm exam: |
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Final Exam: |
Take-home exam |
Grading |
Classroom Participation and Final Exam |
Hardware requirements: |
Laptop for demos |
Software requirements: |
Matlab (student version) |