Neural Data Science

Part I: Foundations 1. Philosophy 2. From 0 to 0.01Part II: Neural Data Analysis 3. Wrangling Spike Trains 4. Correlating Spike Trains 5. Analog Signals 6. Biophysical ModelingPart III: Going Beyond the Data 7. Regression 8. Dimensionality Reduction 9. Classification and Clustering 10. Web Scraping

Nylen, Erik LeeErik Lee Nylen received his PhD from the Center for Neural Science at New York University, and his BSE and MS in Biomedical Engineering at the University of Iowa. He did a fellowship at Insight Data Science, and has taught at the Neural Data Science summer course at Cold Spring Harbor Laboratory. He is a patented inventor and has performed with numerous musical groups. He is currently a data scientist in New York, where he also is Executive Co-Director of The Stand, the New York City Dance Marathon.Wallisch, PascalPascal Wallisch serves as a professor in the Department of Psychology at New York University where he currently teaches statistics, programming and the use of mathematical tools in neuroscience and psychology. He received his PhD in Psychology from the University of Chicago and worked as a postdoctoral fellow at the Center for Neural Science at New York University. He has a long-term commitment and is dedicated to educational excellence, which was recognized by the "Wayne C. Booth Graduate Student Prize for Excellence in teaching? at the University of Chicago and the "Golden Dozen Award? at New York University. He co-founded and co-organizes the "Neural Data Science? summer course at Cold Spring Harbor Laboratory and co-authored "Matlab for Neuroscientists?.