Call Number | 00104 |
---|---|
Day & Time Location |
TR 2:40pm-3:55pm 516 MILSTEIN CEN |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Gabrielle J Gutierrez |
Type | LECTURE |
Course Description | Computational neuroscience is an exciting, constantly evolving subfield in neuroscience that brings together theories and ideas from many different areas in STEM such as physics, chemistry, math, computer science, and psychology. Through the exploration of computational models of neuronal and neural network activity, students will be introduced to a handful of quantitative STEM concepts that intersect with neuroscience. Before beginning this course students are expected to know about the action potential and synaptic transmission (see prerequisites). In this course, we will connect those biological phenomena to quantitative STEM concepts and then to computational models in Matlab. This course is designed for Neuroscience and Biology majors who want to take their first steps towards mathematical and computational models of the brain. Students interested in the computational track for the Neuroscience major should consider taking this course. By the end of this course students will be able to: |
Web Site | Vergil |
Department | Neuroscience & Behavior @Barnard |
Enrollment | 16 students (20 max) as of 11:06AM Friday, December 6, 2024 |
Subject | Neuroscience and Behavior |
Number | BC2004 |
Section | 001 |
Division | Barnard College |
Note | Prerequisits: NSBV BC1001 OR BIO BC1502 OR inst. permission |
Section key | 20243NSBV2004X001 |