Author: Erik D. Reichle Publisher: Oxford University Press ISBN: 019537066X Category : Computers Languages : en Pages : 609
Book Description
"This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading"--
Author: Ahmed A. Moustafa Publisher: John Wiley & Sons ISBN: 1119159075 Category : Psychology Languages : en Pages : 588
Book Description
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Author: A. Kennedy Publisher: Elsevier ISBN: 0080515762 Category : Psychology Languages : en Pages : 771
Book Description
This book is divided into five sections dealing with various fundamental issues in current research: attention, information processing and eye movement control; the role of phonology in reading; syntax and discourse processing and computational models and simulations. Control and measurement of eye movements form a prominent theme in the book. A full understanding of the where and when of eye movement control is a prerequisite of any complete theory of reading, since it is precisely at this point that perceptual and cognitive processes interact. Amongst the 'hot topics' included are the relation between parafoveal and foveal visual processing of linguistic information, the role of phonology in fluent reading and the emergence of statistical 'tuning' approaches to sentence parsing.Also discussed in the book are three attempts to develop quantitative models of reading which represent a significant departure in theory-building and a quantum step in the maturation of reading research. Much of the work reported in the book was first presented at the 5th European Workshop on Language Comprehension organised in April 1998 which was held at the CNRS Luminy Campus, near Marseilles. All contributions summarise the state-of-the-art in the relevant areas of reading research.
Author: Simon Farrell Publisher: Cambridge University Press ISBN: 110710999X Category : Psychology Languages : en Pages : 485
Book Description
This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.
Author: Jose M. Garrido Publisher: CRC Press ISBN: 1498712045 Category : Computers Languages : en Pages : 492
Book Description
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m
Author: Michael Spivey Publisher: Cambridge University Press ISBN: 1139536141 Category : Psychology Languages : en Pages : 1297
Book Description
Our ability to speak, write, understand speech and read is critical to our ability to function in today's society. As such, psycholinguistics, or the study of how humans learn and use language, is a central topic in cognitive science. This comprehensive handbook is a collection of chapters written not by practitioners in the field, who can summarize the work going on around them, but by trailblazers from a wide array of subfields, who have been shaping the field of psycholinguistics over the last decade. Some topics discussed include how children learn language, how average adults understand and produce language, how language is represented in the brain, how brain-damaged individuals perform in terms of their language abilities and computer-based models of language and meaning. This is required reading for advanced researchers, graduate students and upper-level undergraduates who are interested in the recent developments and the future of psycholinguistics.
Author: Ashwin Ram Publisher: MIT Press ISBN: 9780262181921 Category : Language Arts & Disciplines Languages : en Pages : 524
Book Description
This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.
Author: Charles S. Taber Publisher: SAGE ISBN: 9780803972704 Category : Computers Languages : en Pages : 108
Book Description
In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.
Author: Adrian Brasoveanu Publisher: Springer Nature ISBN: 303031846X Category : Language and languages Languages : en Pages : 299
Book Description
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .
Author: Stephan Lewandowsky Publisher: SAGE ISBN: 1452236194 Category : Psychology Languages : en Pages : 377
Book Description
An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.
Author: Erik D. Reichle
Author: Ahmed A. Moustafa
Author: A. Kennedy
Author: Simon Farrell
Author: Jose M. Garrido
Author: Michael Spivey
Author: Ashwin Ram
Author: Charles S. Taber
Author: Adrian Brasoveanu
Author: Stephan Lewandowsky