NEUR-5844: Computational Neuroscience
Description: Concepts in modeling theoretical neuroscience. Study of information processing in the central nervous system integrating neuroscience, mathematics, computer science, and engineering. Basic information theory. Neural coding schemes using MATLAB. Advanced signal processing techniques for the analysis of neural data, neural modeling, and model architectures. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 2
Average GPA: 3.88 (A)
Strict A Rate (No A-) : 61.65%
Average Withdrawal Rate: 0.00%
| Sujith Vijayan | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.89 | 2 |