Fall 2024 Neuroscience and Behavior BC2004 section 001

Fundamentals in Computational Neuroscien

FUND COMPUT NEUROSC MODEL

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:
● Identify the scope of a neuroscience model and determine what it can and cannot tell us.
● Compare models and select an appropriate model for a given scientific question from among the models covered in this course.
● Make connections from the action potential and synaptic transmission to quantitative concepts from other STEM disciplines.
● Design, construct, and implement computational neuroscience models of neurons and neural networks using Matlab.

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