Neural Data Science: A Primer with MATLAB® and PythonT

MATLAB remains the dominant language for scientific computing and analysis in neuroscience, but a more general purpose option - Python - is emerging. This book addresses the snake in the room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience using both Python and MATLAB, which allows to transcend platform tribalism and enables coding versatility. Utilizing a Rosetta stone approach, including both MATLAB and Python in parallel Introducing the canonical data analysis cascade, standardizing the data analysis flow Introducing Comment pointers, which improve the readability of code Introducing data marning Introducing levels of coding principles, which improves the organize of code strategically, tactically and algorithmically Implementing a deeply philosophical framework of 0 to 1 teaching INDICE: Foundations 1. Philosophy 2. Introduction - 0 to 0.01 Neural data analysis 3. Characterizing spike trains 4. Correlating spike trains 5. Analog signals 6. Biophysical modeling Going beyond the data 7. Regression 8. Dimensionality reduction 9. Classification and clustering 10. Web scraping Appendices MATLAB to Python (table of equivalences) Technical Difficulties, Frequently Made Mistakes, Tips, & Tricks Optimizing Code and Data Management Glossary (including additional Python and MATLAB Packages and examples) Practical Considerations: Navigating the competitive landscape of industry and academia

• ISBN: 978-0-12-804043-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 250
• Fecha Publicación: 28/02/2017
• Nº Volúmenes: 1
• Idioma: Inglés