ECBM E6070 Topics in Neuroscience and Deep Learning: Computing with Brain Circuits of Model Organisms
| Lecturer: | Professor Aurel A. Lazar | |
| Office hours: | Tuesdays, 4:00 - 6:00 PM, EST, online | |
| E-mail address: | tab "at" ee.columbia.edu | |
| Class Web Site: | Offered by CourseWorks | |
| TA/CA: | Bruce Yi Bu and Shashwat Shukla | |
| Office hours: | Thursdays, 7:00 PM - 8:00 PM (Subject to Change), EST, Online | |
| E-mail address: | tba "at" columbia.edu | |
| Day and Time: | Mondays, 7:00 PM - 9:30 PM | |
| Class Location: | TBA | |
| Credits for course: | 3 points | |
| PREQ: | A course in computational neuroscience (e.g., BMEB W4020) or deep learning (e.g., ECBM E4040). Extensive Python programming experience or the instructor’s approval. Prior exposure to interactive computing (e.g., JupyterLab) and parallel programming (e.g., PyCUDA) is a plus. | |
| Description: | The Functional Map of the Fruit Fly Brain Modeling the brain of model organisms with an emphasis on the fruit fly. The Fruit Fly Brain Observatory. Structural modeling of the Drosophila brain using cell-type, connectome, synaptome and activity maps with BrainMapsViz. Building the functional map and accelerating the discovery of the functional logic of the Drosophila brain with FlyBrainLab. From Sensory Coding to Directing Movement in Early Vision Pathways and Circuits of the Early Visual System. Phototransduction and Spatio-Temporal Encoding in the Drosophila Retina. Contrast Gain Control in the Photoreceptor and Amacrine Cell Layer. Canonical Motion Detection Circuits. The Functional Role of the Central Complex. Canonical Navigation Circuits in the Central Complex. From Odorant Transduction to Learning and Memory in Early Olfaction Pathways and Circuits of the Early Olfactory System. Odorant Transduction and Combinatorial Encoding in the Drosophila Antenna. The Architecture and Functional Role of the Antennal Lobe. The Architecture and Functional Role of the Mushroom Body. Canonical Circuits for Associative Learning and Memory in the Mushroom Body. Elements of Olfactory Intelligence in Drosophila. |
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| RCMD Text(s): | Lectures Notes (slides) and Jupyter Notebooks for computationally exploring the material covered in class will be available on CourseWorks. To extensively explore the Course Notes and Jupyter Notebooks students are strongly encouraged to write code in Python.
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| Logistics: | Students will individually complete and submit homework assignments. | |
| Homework: | 6 assignments, mostly writing Python code for execution on CPUs or executing already implemented Python code modules on GPUs. | |
| Paper(s): | --- | |
| Projects: | --- | |
| Midterm Exam: | In class exam based on material covered in "From Sensory Coding in Early Vision to Directing Movement". Usage of laptop or mobile phone during the exam period is not allowed. | |
| Final Exam: | In class exam based on material covered in "From Odorant Transduction to Learning and Memory in Early Olfaction". Usage of laptop or mobile phone during the exam period is not allowed. | |
| Grading: | The homework grade is based on the average of the best 5 out of 6 assignments. The final grade has 3 components: 1/5 homework, 2/5 midterm exam and 2/5 final exam. | |
| Hardware REQS: | Laptop for demos. | |
| Software REQS: | Fruit Fly Brain Observatory Resources | |
