Case Studies in Neural Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Case Studies in Neural Data Analysis

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Mark A. Kramer 作者
The MIT Press
譯者
2016-11-4 出版日期
384 頁數
USD 59.99 價格
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9780262529372 圖書編碼

Case Studies in Neural Data Analysis 在線電子書 圖書標籤: 統計學  神經科學  信號處理   


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Case Studies in Neural Data Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

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Case Studies in Neural Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Case Studies in Neural Data Analysis 在線電子書 著者簡介

Mark A. Kramer and Uri T. Eden are Associate Professors in the Department of Mathematics and Statistics at Boston University.


Case Studies in Neural Data Analysis 在線電子書 著者簡介


Case Studies in Neural Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Case Studies in Neural Data Analysis 在線電子書 圖書描述

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.

As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis.

The book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. (Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type.) The book goes on to cover neural field data and spike train data, spectral analysis, generalized linear models, coherence, and cross-frequency coupling. Each chapter offers a stand-alone case study that can be used separately as part of a targeted investigation. The book includes some mathematical discussion but does not focus on mathematical or statistical theory, emphasizing the practical instead. References are included for readers who want to explore the theoretical more deeply. The data and accompanying MATLAB code are freely available on the authors' website. The book can be used for upper-level undergraduate or graduate courses or as a professional reference.

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