Description

Book Synopsis


Trade Review
"Making sense of data is emerging as the limiting factor of progress in neuroscience. This book is the accessible way to learn how to do that." --Konrad Koerding, Professor, Northwestern University "This is a fun, hands-on introduction to the important emerging field of neural data science. It's at the intersection of programming, data analysis, and neuroscience -- perfect for aspiring researchers looking to learn these three in parallel. This book will help inspire a new generation to join us in finding out how the brain works with modern computational tools." --Nikolaus Kriegeskorte, Programme leader, Cognition and Brain Sciences Unit, University of Cambridge

Table of Contents
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 Data Science

    Product form

    A Paperback / softback by Erik Lee Nylen, Pascal Wallisch

    £58.01

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    Order before 4pm today for delivery by Wed 23 Sep 2026.

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      Book details

      Publisher Academic Press Inc
      Published 10 May 2017
      ISBN-13 9780128040430
      978-0128040430
      ISBN-10 0128040432
      Also in:
      Science & Nature Science: general issues Scientific research

      Description

      Book Synopsis


      Trade Review
      "Making sense of data is emerging as the limiting factor of progress in neuroscience. This book is the accessible way to learn how to do that." --Konrad Koerding, Professor, Northwestern University "This is a fun, hands-on introduction to the important emerging field of neural data science. It's at the intersection of programming, data analysis, and neuroscience -- perfect for aspiring researchers looking to learn these three in parallel. This book will help inspire a new generation to join us in finding out how the brain works with modern computational tools." --Nikolaus Kriegeskorte, Programme leader, Cognition and Brain Sciences Unit, University of Cambridge

      Table of Contents
      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

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