Have you ever had any difficulty understanding that topic when you were in class? or the hospital? or in your office that was related to the subject of medicine and health. Well Statistical Techniques for Neuroscientists PDF answers all those questions for you. You must give it a thorough read to understand what you probably are dealing with is related to human lives and allthingsmedicine is here to help you in that task. In this blog post we will share the download file for the book in pdf format. Cheers!
Attributes of Statistical Techniques for Neuroscientists PDF
Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein.
The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods.
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Illustrations of Statistical Techniques for Neuroscientists PDF
The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.
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.
Proportions of Statistical Techniques for Neuroscientists PDF
- Publisher : CRC Press; 1st edition (August 12, 2016)
- Language : English
- Hardcover : 415 pages
- ISBN-10 : 1466566140
- ISBN-13 : 978-1466566149
- Item Weight : 2.2 pounds
- Dimensions : 6.2 x 1.2 x 9.2 inches
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