NRSC357
Computational Neuroscience
Neuroscience
BC
Subject code
NRSC
Course Number
357
Department(s)
Instructor(s)
J. Castro
Course Long Title
Computational Neuroscience
Description
The brain is a complex object, and studying it scientifically requires a facility with tools and concepts for analyzing high dimensional data. This course will provide a survey of such tools through representative case studies in perception (how many types of odors are there?), genomics (how do we classify cell types?), and neural coding and dynamics (how does brain activity encode attributes of the world?). Students will develop intuitions for framing fundamental neuroscience questions as data-driven problems, and will also develop skills for exploring, visualizing, modeling, and interpreting data. No prior experience with coding is assumed or expected, and the course will emphasize the use of high-level computational tools rather than implementation of algorithms from scratch. Prerequisite(s): NRSC/PSYC160.
Modes of Inquiry
Scientific Reasoning [SR]
Writing Credit
W2
Offering Frequency
Normally offered every year
Recommended Background
Prerequisite(s): NRSC/PSYC160