NEURO 260

Introduction to Signal Processing for Neuroscientists

Description: Lecture, four hours. Limited to Neuroscience graduate students. Introductory principles for handling some common types of time-varying data used to measure brain activity (spikes, local field potentials, calcium transients). Analysis of data with simple computer scripts for team-based projects. May not be repeated for credit. Letter grading.

Units: 4.0
1 of 1

Daniel Aharoni

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.

Sotirios Masmanidis

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.
AD

S. Masmanidis

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.

Nanthia Suthana

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.
1 of 1