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A Primer with MATLAB® and Python™ present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience.

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, giving readers the ability to transcend platform tribalism and enable coding versatility.

Reviews

"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

Feature

• Includes discussions of both MATLAB and Python in parallel
• Introduces the canonical data analysis cascade, standardizing the data analysis flow
• Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

정보제공 :

Front Cover; Neural Data Science; Copyright Page; Dedication; Contents; Biography; Preface; How to Use This Book; I. Foundations; 1 Philosophy; What Is Data Science?; What Is Neural Data Science?; How Is Neural Data Science Different From Computational Neuroscience?; Data as Seen by Data Scientists Versus Data Seen by Neural Data Scientists; What Is a Neural Data Scientist?; Why Do I Need to be Able to Write Computer Code?; What Is Neural Data?; Can We Just Add "Neuro" to the Front of Anything?; Why Python?; Why MATLAB? 
Why Not C/C++/R/Julia/Haskill/Java/Javascript/OCaml/Perl/Pascal/Fortran/Ruby/Groovy/Scala/etc.?What Is Industrial Data Science? How Is It Different From Engineering?; 2 From 0 to 0.01; What Is the Goal of This Chapter?; How Do I Get Started Coding?; What''s the Command Line? What''s the Environment?; How Are Python and MATLAB Different?; How Do I Display Something on the Screen?; How Do I Do Arithmetic in Python or MATLAB?; How Do I Input Exponents in Python and MATLAB?; What Is the Role of Blank Space in Writing Code, If Any?; What Is the Order of Operations in Python and MATLAB? 
What Are Functions?What Are Python Packages? What Are MATLAB Toolboxes? Are These Different From Libraries?; How Do I Get Help?; What Are Variables?; How Can I Access or Display What Is Contained in a Given Variable?; What Is "ans" in MATLAB?; What Can We Call Our Variables?; What Is a Vector? How Do I Store a Vector in POM?; How Do I Calculate the Sum and Mean of All Values in a Vector?; We Need to Talk About the Echo; How Do I Calculate the Length of a Vector?; What Are Matrices, What Are Arrays?; Back to Vectors: How to Vectorize a Matrix?; What Can We Do With All of This? 
The Find FunctionAdding Matrices and Dealing With Holes in Arrays; What Is a Normal Distribution? How Do We Draw From One, How Do We Plot One With POM?; How Do I Plot Something More Meaningful?; How Do I Save What I''m Working On so That I Can Load It Again Later?; II. Neural Data Analysis; 3 Wrangling Spike Trains; Questions We Did Not Address; 4 Correlating Spike Trains; Step 1; Step 2; Step 3; Step 4; Step 5; 5 Analog Signals; Nyquist Frequency; Fourier Transform; Euler''s Formula; 6 Biophysical Modeling; Biophysical Properties of Neurons; Modeling; Why Use Simulations? 
Why Object-Oriented Programming?Python Is Inherently Object-Oriented: How Does MATLAB Implement These Things?; Creating the class Neuron; Modeling the Response Properties of This Neuron; III. Going Beyond the Data; 7 Regression; Describing the Relation Between Synaptic Potentials and Spikes; Why Logistic Regression?; What Is Logistic Regression?; What Are Odds?; How About a Specific Use Case?; What Is the Logit Function?; All of This Sounds a Bit Abstract-What Does the Logit Function Look Like?; Are We Done Yet?; What Does That Look Like?; How Does This Help?; What Does That Look Like?