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Statistical and Process Models for Cognitive Neuroscience and Aging

2007-01-30 Psychology
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Release : 2007-01-30
Genre : Psychology
Kind : eBook
Book Rating : 340/5 ( reviews)

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Book Synopsis Statistical and Process Models for Cognitive Neuroscience and Aging by : Michael J. Wenger

Download or read book Statistical and Process Models for Cognitive Neuroscience and Aging written by Michael J. Wenger. This book was released on 2007-01-30. Available in PDF, EPUB and Kindle. Book excerpt: Statistical and Process Models for Cognitive Neuroscience and Aging addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Each chapter, written by the expert in the area, provides a carefully crafted i

Cognitive Neuroscience of Aging

2017 Medical
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Release : 2017
Genre : Medical
Kind : eBook
Book Rating : 934/5 ( reviews)

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Book Synopsis Cognitive Neuroscience of Aging by : Roberto Cabeza

Download or read book Cognitive Neuroscience of Aging written by Roberto Cabeza. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: A rapidly growing body of research has consituted a new discipline that may be called cognitive neuroscience of aging. This book offers an introduction to the topic, useful to both professionals & students in cognitive neuroscience, cognitive psychology, neuroscience, neuropsychology & neurology.

Statistical Analysis of fMRI Data

2011-03-11 Medical
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Release : 2011-03-11
Genre : Medical
Kind : eBook
Book Rating : 419/5 ( reviews)

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Book Synopsis Statistical Analysis of fMRI Data by : F. Gregory Ashby

Download or read book Statistical Analysis of fMRI Data written by F. Gregory Ashby. This book was released on 2011-03-11. Available in PDF, EPUB and Kindle. Book excerpt: An overview of statistical methods for analyzing data from fMRI experiments. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article—preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity—coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions.

Mathematical Models of Perception and Cognition Volume II

2016-05-20 Psychology
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Release : 2016-05-20
Genre : Psychology
Kind : eBook
Book Rating : 482/5 ( reviews)

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Book Synopsis Mathematical Models of Perception and Cognition Volume II by : Joseph W. Houpt

Download or read book Mathematical Models of Perception and Cognition Volume II written by Joseph W. Houpt. This book was released on 2016-05-20. Available in PDF, EPUB and Kindle. Book excerpt: In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.

Statistical Methods for Modeling Human Dynamics

2011-02-25 Psychology
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Release : 2011-02-25
Genre : Psychology
Kind : eBook
Book Rating : 586/5 ( reviews)

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Book Synopsis Statistical Methods for Modeling Human Dynamics by : Sy-Miin Chow

Download or read book Statistical Methods for Modeling Human Dynamics written by Sy-Miin Chow. This book was released on 2011-02-25. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are reviewed along with techniques for modeling in real time and for examining lifespan cognitive changes, for conceptualizing change using item response, nonparametric and hierarchical models, and control theory-inspired techniques for deriving diagnoses in medical and psychotherapeutic settings. The syntax for running the analyses presented in the book is provided on the Psychology Press site. Most of the programs are written in R while others are for Matlab, SAS, Win-BUGS, and DyFA. Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of: Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data Dynamic modeling techniques for intensive repeated measurement data Panel modeling techniques for fewer time points data State-space modeling techniques for psychological data Techniques used to analyze reaction time data. Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.

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