Fall 26' MCDB 194NC 2 units, Neural Circuits, T 3-4:50PM
Instructor: MCDB Professor Sung Soo Kim
See major sheet for applicability
Audience:
This course is aimed at both upper-division undergraduate
and graduate students.
This course will cover computational principles of the brain
using real biological neural networks as examples.
Examples
of potential topics: turning
choice circuit (C. elegans or fruit flies); stomatogastric
ganglion (lobsters); eyeblink reflex conditioning in the
cerebellum (rats); columnar organization of the neocortex
(monkeys); ring attractors in the head direction system
(flies, rodents, and fish); spatial processing in vision (V1
simple cell & fly MeTu1 circuit); motion detection
circuits (flies); self-organizing map (fly compass neurons);
vector computation (fly, mammals); circuit motif of
sensory-driven stimulus locating (bottom-up attention in
human, fly compass circuit); and finally, feedback motor
control (fly’s flight circuit).
Format:
Mixture of lectures and student presentations.
Prerequisites:
1. In addition to the intro bio series, upper div students
must have studied college-level calculus with a minimum
grade of 2.7 (Math 3a, 3b, 34a, 34b, 4a, 6a, or, at the
minimum, AP calculus). This course uses differential
equations. So, you should have some basic idea about it. (We
won't get deep. So, if you have learnt it in the past, it
would work. But if you haven't, this course will be
challenging. Instructor approval required via approval code.
2. Upper
division neuroscience course with minimum grade 3.0 (MCDB
151, 152, 153, or equivalent).
3. Experience
in programming language (the course uses MATLAB, but
experience with other languages is fine). The level of
experience or the language you know does not matter. But if
you have never learned programming, this course will be
challenging. You will be good if you understand the
materials in the following link:
https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted