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Case studies in neural data analysis: a guide for the practicing neuroscientist

Case studies in neural data analysis: a guide for the practicing neuroscientist
Catalogue Information
Field name Details
Dewey Class 616.80475 (DDC 23)
Title Case studies in neural data analysis : a guide for the practicing neuroscientist (M) / Mark A. Kramer and Uri T. Eden
Author Kramer, Mark A.
Added Personal Name Eden, Uri T.
Publication Cambridge, Massachusetts : MIT Press , 2016
Physical Details xi, 370 pages : ill. ; 23 cm.
Series Computational neuroscience
ISBN 9780262529372
Summary Note 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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Item Information
Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000043794 616 KRA
General   SISSA . . Available .  
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