Neural data science :
xviii, 350 pages : illustrations (some color) ; 24 cm. Content notes : Part I: Foundations
1. Philosophy --
2. From 0 to 0.01 --
Part II: Neural Data Analysis
3. Wrangling Spike Trains --
4. Correlating Spike Trains --
5. Analog Signals --
6. Biophysical Modeling --
Part III: Going Beyond the Data
7. Regression --
8. Dimensionality Reduction --
9. Classification and Clustering --
10. Web Scraping. Neural networks (Computer science) MATLAB.