![]() |
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
||
Showing 1 - 4 of 4 matches in All Departments
Within the last three decades, interest in the psychological
experience of human faces has drawn together cognitive science
researchers from diverse backgrounds. Computer scientists talk to
neural scientists who draw on the work of mathematicians who
explicitly influence those conducting behavioral experiments.
Within the last three decades, interest in the psychological experience of human faces has drawn together cognitive science researchers from diverse backgrounds. Computer scientists talk to neural scientists who draw on the work of mathematicians who explicitly influence those conducting behavioral experiments. The chapters in this volume illustrate the breadth of the research on facial perception and memory, with the emphasis being on mathematical and computational approaches. In pulling together these chapters, the editors sought to do much more than illustrate breadth. They endeavored as well to illustrate the synergies and tensions that inevitably result from adopting a broad view, one consistent with the emerging discipline of cognitive science.
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 an expert in the area,
provides a carefully crafted introduction to the subject at hand
and the key methodological challenges facing that area of study.
Each volume in the Notre Dame Series on Quantitative Methodology features leading methodologists and substantive experts who provide instruction on innovative techniques designed to enhance quantitative skills in a substantive area. This latest volume focuses on the methodological issues and analyses pertinent to understanding psychological data from a dynamical system perspective. Dynamical systems analysis (DSA) is increasingly used to demonstrate time-dependent variable change. It is used more and more to analyze a variety of psychological phenomena such as relationships, development and aging, emotional regulation, and perceptual processes. The book opens with the best occasions for using DSA methods. The final two chapters focus on the application of dynamical systems methods to problems in psychology such as substance use and gestural dynamics. In addition, it reviews how and when to use: Time series models from a discrete time perspective Stochastic differential equations in continuous time Estimating continuous time differential equation models Multilevel models of differential equations to estimate within-person dynamics and the corresponding population means New SEM models for dynamical systems data. Data Analytic Techniques for Dynamical Systems is beneficial to advanced students and researchers in the areas of developmental psychology, family studies, language processes, cognitive neuroscience, social and personality psychology, medicine, and emotion. Due to the books instructive nature, it serves as an excellent text for advanced courses on this particular technique.
|
You may like...
Scrambled Sentences: Phonics - 40…
Immacula A Rhodes, Immacula Rhodes
Paperback
Advanced Battery Technologies - New…
Manuel A. Gonzalez, David Ansean
Hardcover
The Oxford Handbook of Children's…
Patricia Shehan Campbell, Trevor Wiggins
Hardcover
R4,709
Discovery Miles 47 090
Innovative Food Processing Technologies…
Kasiviswanathan Muthukumarappan, Kai Knoerzer
Hardcover
R38,876
Discovery Miles 388 760
|