This item is printed on demand - it takes 3-4 days longer - Neuware -Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory. 428 pp. Englisch. N� de ref. del art�culo 9780128043158

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Detalles bibliogr�ficos

T�tulo: Systems Factorial Technology

Editorial: Elsevier Science Apr 2017

A�o de publicaci�n: 2017

Encuadernaci�n: Buch

Condici�n: Neu

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Sinopsis:

Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory.

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Daniel R. Little is a Senior Lecturer at the University of Melbourne. He directs the Knowledge, Information & Learning Laboratory in the Melbourne School of Psychological Sciences. His research focuses on the mathematical modeling of complex perceptual decisions in categorization and recognition. Daniel received his PhD in 2009 from the University of Western Australia.

Nicholas Altieri, MS PhD, is an Assistant Professor of Speech Language Pathology at Idaho State University. He currently co-directs the EEG laboratory in the Department of Communication Sciences and Disorders. His research specializes in multi-sensory perception, cognitive neuroscience, speech recognition, and statistical modeling of psychological processes. Nicholas studied as a graduate student for five years in James Townsend's laboratory where he began working with SFT, and continues to apply its theoretical fundamentals across a wide range of research topics.

Mario Fifić is an associate Professor of Department of Psychology at Grand Valley State University, Michigan. He directs the Cognitive Science and Decision-Making Laboratory. His research focuses on the development of a highly diagnostic and sophisticated methodology for uncovering mental architecture, known as systems factorial technology (SFT). SFT allows for precise determination of the fundamental properties of mental processes underlying cognitive operations in categorization, face detection, reading and visual/memory search.

Prof. Cheng-Ta Yang is an Associate Professor of Department of Psychology, National Cheng Kung University. He got his PHD degree at Department of Psychology, National Taiwan University in 2009. His primary research interests include attention, visual short-term memory, perceptual decision-making, and cognitive modeling. He has spent more than 10 years on studying Systems Factorial Technology and its application. Recently, he received several awards such as Ta-You Wu Memorial Award from National Science Council (2013), The Outstanding Young Persons (2015), and Academia Sinica Research Award for Junior Research Investigators (2016).

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