NSCI 401 - Introduction to Theoretical Neuroscience REMOTE
Gunnar Blohm
This course will provide an introduction to the main modelling approaches and theoretical concepts in Neuroscience. The computational anatomy of the brain and how it implements perception, learning, memory, decision making and motor control, among other topics, will be discussed.
Level 4 and registration in a LISC Major or Specialization Plan and a GPA of 2.5 and (STAT 263/3.0 or STAT 267/3.0 or STAT 367/3.0 or COMM 162/3.0 or ECON 250/3.0 or PSYC 202/3.0 or SOCY 211/3.0 or BIOL 243/3.0 or CHEE 209/3.0 or GPHY 247/3.0 or KNPE 251/3.0 or POLS 385/3.0 or NURS 323/3.0 or PHED 251/3.0).
RECOMMENDATION: NSCI 323/3.0, NSCI 324/3.0, ANAT 312/3.0, PSYC 271/3.0.
Students will learn to understand and interpret fundamental models in neuroscience. They will also learn to appreciate the value of quantitative models in understanding brain function. Practical skills learned include critical thinking, research paper presentations and hands-on modeling of select phenomena
Short opinion essay: 10%
Written report of team-based learning projects: 2 x 15% (30% total)
Oral in-class paper presentation: 20%
Weekly written paper summaries: 10%
Final written exam (short/long answers): 30%
Lecture 3 hours per week
| Letter Grade | Percentage |
|---|---|
| A+ | 90-100 |
| A | 85-89.9 |
| A- | 80-84.9 |
| B+ | 77-79.9 |
| B | 73-76.9 |
| B- | 70-72.9 |
| C+ | 67-69.9 |
| C | 63-66.9 |
| C- | 60-62.9 |
| D+ | 57-59.9 |
| D | 53-56.9 |
| D- | 50-52.9 |
| F | 0-49.9 |