NSNT501 INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE
| Course Code: |
8780501 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Neuroscience And Neurotechnology |
| Language of Instruction: |
English |
| Level of Study: |
PhD |
| Course Coordinator: |
Prof.Dr. UÐUR HALICI |
| Offered Semester: |
Fall and Spring Semesters. |
Course Content
This course offers a broad introduction to computational principles and models of neural systems and it explores how the brain works. from a computational perspective. Topics includes modeling the behavior and dynamics of single neurons and small systems of neurons; computational models for several major brain areas such as the visual cortex. basal ganglia. hippocampus. in relation to computational methods including independent component analysis. sparse coding. reinforcement learning. associative memories; general theories of inference in the brain such as the models based on belief propagation. deep belief nets. hierarchical graphical models; The course include small programming assignments in MATLAB.
