CBNS 130L: COMPUTATIONAL NEUROPHYSIOLOGY LABORATORY: SIMULATING NEURONAL MEMBRANE PROPERTIES
University of California, Riverside
4 Units, Lecture, 1 hour; discussion, 1 hour; laboratory, 3 hours; written work, 3 hours. Prerequisite(s): CBNS 106; CBNS 120, may be taken concurrently or PSYC 120, may be taken concurrently; and consent of instructor. Introduces computer modeling techniques to enhance understanding of neuronal membrane physiology. Selected topics include biophysical models of single neurons including passive properties and action potential firing, channels regulating neuronal firing properties, synaptic interactions, and simple circuits. Cross-listed with PSYC 123L.
Average GPA: 3.38
Grade distribution records: 137 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 7 | 5.1% |
| A | 45 | 32.8% |
| A- | 22 | 16.1% |
| B+ | 10 | 7.3% |
| B | 28 | 20.4% |
| B- | 8 | 5.8% |
| C+ | 7 | 5.1% |
| C | 4 | 2.9% |
| D | 1 | 0.7% |
| F | 2 | 1.5% |
| W | 3 | 2.2% |
Based on 137 student grade records across 9 terms and 2 professors.
Instructors
- Vijayalakshmi Santhakumar 38 students, Average GPA 3.37
- Edward Zagha 16 students, Average GPA 3.84