𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Analysis of Neural Data

✍ Scribed by Robert E. Kass, Uri T. Eden, Emery N. Brown (auth.)


Publisher
Springer-Verlag New York
Year
2014
Tongue
English
Leaves
663
Series
Springer Series in Statistics
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xxv
Introduction....Pages 1-22
Exploring Data....Pages 23-35
Probability and Random Variables....Pages 37-69
Random Vectors....Pages 71-104
Important Probability Distributions....Pages 105-135
Sequences of Random Variables....Pages 137-148
Estimation and Uncertainty....Pages 149-178
Estimation in Theory and Practice....Pages 179-220
Propagation of Uncertainty and the Bootstrap....Pages 221-246
Models, Hypotheses, and Statistical Significance....Pages 247-286
General Methods for Testing Hypotheses....Pages 287-307
Linear Regression....Pages 309-359
Analysis of Variance....Pages 361-389
Generalized Linear and Nonlinear Regression....Pages 391-412
Nonparametric Regression....Pages 413-438
Bayesian Methods....Pages 439-489
Multivariate Analysis....Pages 491-512
Time Series....Pages 513-561
Point Processes....Pages 563-603
Back Matter....Pages 1-21

✦ Subjects


Statistics for Life Sciences, Medicine, Health Sciences; Neurosciences; Neuropsychology; Statistical Theory and Methods


πŸ“œ SIMILAR VOLUMES


Neural Network Data Analysis Using Simul
✍ Edward J. Rzempoluck (auth.) πŸ“‚ Library πŸ“… 1998 πŸ› Springer-Verlag New York 🌐 English

<p>Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeriΒ­ cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables.

Analysis and Visualization of Discrete D
✍ Koji Koyamada πŸ“‚ Library πŸ“… 2024 πŸ› World Scientific Publishing Company 🌐 English

This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Goog

Data Analyst: Careers in data analysis
✍ Harish Gulati; Charles Joseph; Rune Rasmussen; Clare Stanier; Obi Umegbolu πŸ“‚ Library πŸ“… 2019 πŸ› BCS, The Chartered Institute for IT 🌐 English

Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe

Exploratory analysis of Metallurgical pr
✍ C. Aldrich (Eds.) πŸ“‚ Library πŸ“… 2002 πŸ› Elsevier, Academic Press 🌐 English

This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks.The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable pa

Exploratory analysis of Metallurgical pr
✍ C. Aldrich (Eds.) πŸ“‚ Library πŸ“… 2002 πŸ› Elsevier, Academic Press 🌐 English

This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks.The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable pa

Exploratory analysis of Metallurgical pr
✍ C. Aldrich (Eds.) πŸ“‚ Library πŸ“… 2002 πŸ› Elsevier Science 🌐 English

This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks. The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable p