TY  - BOOK
AU  - Kass,Robert E.
AU  - Eden,Uri T.
AU  - Brown,Emery N.
TI  - Analysis of neural data
T2  - Springer series in statistics
SN  - 9781461496014 (cloth : alk. paper)
U1  - 000SB:612.8 23
PY  - 2014///
CY  - New York
PB  - Springer
KW  - Neural analyzers
KW  - Neuropsychological tests
KW  - Neurosciences
KW  - Mathematics
KW  - Theoretical Models
KW  - Probability
N1  - Includes bibliographical references (p. 623-634) and indexes; 1. Introduction --
2. Exploring Data --
3. Probability and Random Variables --
4. Random Vectors --
5. Important Probability Distributions --
6. Sequences of Random Variables --
7. Estimation and Uncertainty --
8. Estimation in Theory and Practice --
9. Propagation of Uncertainty and the Bootstrap --
10. Models, Hypotheses and Statistical Significance --
11. General Methods for Testing Hypotheses --
12. Linear Regression --
13. Analysis of Variance --
14. Generalized Linear and Nonlinear Regression--
15. Nonparametric Regression --
16. Bayesian Methods --
17. Multivariate Analysis --
18. Time Series --
19. Point Processes --

Appendix: Mathematical Background --
References--
Example Index --
Index --
N2  - 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 analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work
ER  -