Statistical Techniques for Neuroscientists

Released on by Young K. Truong
preview-18

  • Statistical Techniques for Neuroscientists Book Detail

  • Author : Young K. Truong
  • Release Date : 2016-10-04
  • Publisher : CRC Press
  • Genre : Mathematics
  • Pages : 446
  • ISBN 13 : 1466566159
  • File Size : 4,4 MB
DOWNLOAD BOOK

Statistical Techniques for Neuroscientists by Young K. Truong PDF Summary

Book Description: 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. 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.

Disclaimer: www.yourbookbest.com does not own Statistical Techniques for Neuroscientists books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Statistical Techniques for Neuroscientists

Statistical Techniques for Neuroscientists

File Size : 24,24 MB
Total View : 3015 Views
DOWNLOAD

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brai

Micro and Smart Devices and Systems

Micro and Smart Devices and Systems

File Size : 3,3 MB
Total View : 3769 Views
DOWNLOAD

The book presents cutting-edge research in the emerging fields of micro, nano and smart devices and systems from experts working in these fields over the last d