Statistical Techniques for Neuroscientists

Author:   Young K. Truong (The University of North Carolina at Chapel Hill, USA) ,  Mechelle M. Lewis
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032920276


Pages:   446
Publication Date:   14 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Statistical Techniques for Neuroscientists


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Author:   Young K. Truong (The University of North Carolina at Chapel Hill, USA) ,  Mechelle M. Lewis
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.825kg
ISBN:  

9781032920276


ISBN 10:   1032920270
Pages:   446
Publication Date:   14 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

STATISTICAL ANALYSIS OF NEURAL SPIKE TRAIN DATA. Statistical Modeling of Neural Spike Train Data. Regression Spline. STATISTICAL ANALYSIS OF FMRI DATA. Hypothesis Testing Approach. An Efficient Estimate of HRF. Independent Component Analysis. Instantaneous Independent Component Analysis. Colored Independent Component Analysis. Group Blind Source Separation (GBSS). Diagnostic Probability Modeling. Supervised SVD. Appendices.

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Author Information

Young K. Truong, PhD, is a professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill, USA. He earned his BS in mathematics with Baccalaureate Honors at the University of Washington, Seattle, in 1978 and his MA (1980) and PhD (1985) degrees in statistics from the University of California, Berkeley, USA. He has published extensively, is the recipient of many prestigious awards, and is an often-invited professional speaker and presenter.

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