EEBM E9070 Computing with Brain Circuits


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Lecturer: Professor Aurel A. Lazar
  Office hours: By appointment, Room 819 Schapiro
  E-mail address: aurel "at" ee.columbia.edu
  Class Web Site: Offered by CourseWorks
Day and Time: Tuesdays, 7:00 PM - 9:00 PM
Class Location: 834 Mudd Building
Credits for course: 3 points
Prerequisites BMEB W4020 or BMEE E4030 or ECBM E4090 or ELEN E4750 or the instructor's approval
Description: Marr's model of early visual information processing. Processing natural visual scenes with dendritic stimulus processors. Computing with Spike Processing Machines. Elements of Deep Learning. Drosophila connectomics and the architecture of the fruit fly brain. Detailed description of the fruit fly's olfaction and vision circuits. Canonical circuits and parallel programming models of local processing units of the fruit fly brain. Projects in Matlab.
Recommended texts: ---

Homework(s): Reading research papers and book chapters
Paper(s): ---
Project(s) Implementation of (i) dendritic stimulus processors and (ii) local processing units of the fruit fly's brain in Matlab. (Strongy motivated students with prior background in Neuroscience and Parallel Computing (Python/PyCUDA) can request working on an individual project - instructor's approval required.)
Midterm exam: Project I: Algorithmic I/O Characterization of dendritic stimulus processors.
Final Exam: Project II: Implementation of a local processing unit of your choice (instructor's approval required).
Grading Classroom participation and projects
Hardware requirements: Laptop for demos.
Software requirements: Matlab. Remote access to GPUs running Python and PyCUDA will be provided upon request.
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