ECBM E6070 Fruit Fly Brain as NeuroInformation Processor
|||Provides a bridge between neuroscience and deep learning.|
|||Enables the further exploration of key concepts in systems/computational/theoretical neuroscience and deep learning.|
|||Interests in Computational, Systems and Theoretical Neuroscience
In Silico: Neural Computing Engines and NeuroInformation Processing Machines.
In Vivo: Reverse Engineering the Fruit Fly Brain.
In Silico: Fruit Fly Brain Observatory.
|||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. For related courses see also the optional MS Concentration in Systems Biology and Neuroengineering and Concentration in Data-Driven Analysis and Computation, both offered by the Department of Electrical Engineering.
|Lecturer:||Professor Aurel A. Lazar|
|Office hours:||Tuesdays, 4:00 - 6:00 PM, EST, Room 819 Schapiro|
|E-mail address:||aurel "at" ee.columbia.edu|
|Class Web Site:||Offered by CourseWorks|
|Office hours:||TBA, EST, @EE Student Lounge (1300 Mudd)|
|E-mail address:||TBA "at" columbia.edu|
|Day and Time:||Mondays, 7:00 PM - 9:00 PM|
|Class Location:||627 Seeley W. Mudd Building|
|Credits for course:||3 points|
|Prerequisites||ECBM E4040 or the instructor's approval|
|Description:||Modeling the brain of model organisms with an emphasis on the fruit fly. Drosophila connectomics. Detailed description of the fruit fly's early olfactory and vision circuits. Navigation and the central complex. The architecture of the Fruit Fly Brain Observatory. Canonical circuits and parallel programming models of local processing units of the fruit fly brain. Methods of Deep Learning. Projects in Python.|
|RCMD Text:|| Peter Sterling and Simon Laughlin, Principles of Neural Design, The MIT Press, 2015.
|Homework(s):||Reading research papers and book chapters|
|Midterm exam:||Project I: TBA|
|Final Exam:||Project II: TBA|
|Grading||Classroom participation and projects|
|Hardware requirements:||Laptop for demos.|