BNB 568 - Statistics and Data Analysis in Neuroscience II: Applications

This course will introduce students to modern tools for data analysis that are highly relevant for biology and neuroscience. Each application is studied starting from a specific question that the researcher in neuroscience is likely to encounter during his/her research activity. The emphasis will be on practical problems and how to solve them while avoiding the pitfalls of common misconceptions in statistics that may lead to statistical malpractice. The students will also have the opportunity to hone their statistics skills by analyzing different types of datasets (among genetic, molecular, cellular, synaptic, imaging, spike and behavioral) in the MATLAB (or similar) computing environment.

2 credits

Grading Letter graded (A, A-, B+, etc.)