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Analyzing Neural Time Data: Theory and Practice

Jese Leos
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Published in Mike X Cohen
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Neural time data is a powerful tool for studying the brain. It can be used to track the activity of individual neurons, or to measure the overall activity of a brain region. This data can be used to understand how the brain processes information, how it learns and remembers, and how it controls behavior.

Analyzing Neural Time Data: Theory and Practice
Analyzing Neural Time Series Data: Theory and Practice
by Mike X Cohen

4.7 out of 5

Language : English
File size : 20414 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 815 pages

However, analyzing neural time data can be challenging. The data is often complex and noisy, and it can be difficult to know how to extract meaningful information from it. This book provides a comprehensive guide to analyzing neural time data, with a focus on practical applications and theoretical foundations.

Part 1: Theory

The first part of the book provides a theoretical overview of neural time data analysis. This includes a discussion of the different types of neural time data, the different methods for recording it, and the different statistical techniques that can be used to analyze it.

  • Types of neural time data
  • Methods for recording neural time data
  • Statistical techniques for analyzing neural time data

Part 2: Practice

The second part of the book provides a practical guide to analyzing neural time data. This includes step-by-step instructions for performing common analysis tasks, such as:

  • Preprocessing the data
  • Extracting features from the data
  • Classifying the data
  • Interpreting the results

Part 3: Applications

The third part of the book provides a overview of applications of neural time data analysis. This includes examples of how neural time data has been used to study a variety of topics, such as:

  • Cognitive neuroscience
  • Clinical neuroscience
  • Computational neuroscience

This book provides a comprehensive guide to analyzing neural time data. It is essential reading for anyone who wants to use neural time data to study the brain.

Analyzing Neural Time Data: Theory and Practice
Analyzing Neural Time Series Data: Theory and Practice
by Mike X Cohen

4.7 out of 5

Language : English
File size : 20414 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 815 pages
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The book was found!
Analyzing Neural Time Data: Theory and Practice
Analyzing Neural Time Series Data: Theory and Practice
by Mike X Cohen

4.7 out of 5

Language : English
File size : 20414 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 815 pages
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