Analysis of Neural Data

• Main Authors: Kass, Robert E. (Author), Eden, Uri T. (Author), Brown, Emery N. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Neurosciences.; Neuropsychology.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of an...

Table of Contents:

• Introduction
• Exploring Data
• Probability and Random Variables
• Random Vectors
• Important Probability Distributions
• Sequences of Random Variables
• Estimation and Uncertainty
• Estimation in Theory and Practice
• Uncertainty and the Bootstrap
• Statistical Significance
• General Methods for Testing Hypotheses
• Linear Regression
• Analysis of Variance
• Generalized Regression
• Nonparametric Regression
• Bayesian Methods
• Multivariate Analysis
• Time Series
• Point Processes
• Appendix: Mathematical Background
• Example Index
• Index
• Bibliography.