Computational Models of Reading


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"--




Reading as a Perceptual Process


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.




Computational Models of Visual Processing


Book Description

The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function. An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary. ContributorsEdward H. Adelson, Albert J. Ahumada, Jr., James R. Bergen, David G. Birch, David H. Brainard, Heinrich H. Bülthoff, Charles Chubb, Nancy J. Coletta, Michael D'Zmura, John P. Frisby, Norma Graham, Norberto M. Grzywacz, P. William Haake, Michael J. Hawken, David J. Heeger, Donald C. Hood, Elizabeth B. Johnston, Daniel Kersten, Michael S. Landy, Peter Lennie, J. Stephen Mansfield, J. Anthony Movshon, Jacob Nachmias, Andrew J. Parker, Denis G. Pelli, Stephen B. Pollard, R. Clay Reid, Robert Shapley, Carlo L. M. Tiana, Brian A. Wandell, Andrew B. Watson, David R. Williams, Hugh R. Wilson, Yuede. Yang, Alan L. Yuille




The Cambridge Handbook of Computational Psychology


Book Description

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.




The Science of Reading


Book Description

The Science of Reading: A Handbook brings together state-of-the-art reviews of reading research from leading names in the field, to create a highly authoritative, multidisciplinary overview of contemporary knowledge about reading and related skills. Provides comprehensive coverage of the subject, including theoretical approaches, reading processes, stage models of reading, cross-linguistic studies of reading, reading difficulties, the biology of reading, and reading instruction Divided into seven sections:Word Recognition Processes in Reading; Learning to Read and Spell; Reading Comprehension; Reading in Different Languages; Disorders of Reading and Spelling; Biological Bases of Reading; Teaching Reading Edited by well-respected senior figures in the field




Vision


Book Description

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.




Eye Movements and Information Processing During Reading


Book Description

Measurement and analysis of eye movements are two of the most powerful ways to study the workings of the human mind. This Special Issue on eye movements and information processing in reading presents an overview of experimental research based on this methodology. Eye movements provide a unique opportunity to examine principles of human information processing in a well-structured visual environment while people engage in a natural cognitive task. At the same time, oculomotor measures can be used as a tool to develop and test psycholinguistic hypotheses about the processing of written language. The papers in this issue contribute to both aspects, addressing issues that dominate current debates in the field. Seen from the angle of visual information processing, a major theme is the role played by parafoveal information for different types and levels of processing and for oculomotor control in reading. This includes effects of visual and linguistic word properties on the selection of words for fixation and the specification of saccade amplitudes. Clearly the most controversial question in this context concerns the allocation of attention, with positions ranging from a sequentially moving spotlight to a gradient of spatially distributed processing. Related to this is the issue of serial vs. parallel word processing and the fundamental question as to what extent the duration of fixations in reading is related to lexical processing. Taking a psycholinguistic perspective, the topics addressed include several levels of language processing from orthography to pragmatic information in sentence reading. New approaches to the study of morphologically complex words are reported, together with novel work revealing the complex nature of the apparently accessible, but elusive, concept of word frequency. Other papers reflect current theoretical discussions centered on the development of computational models of the reading process and contribute to the empirical base of these discussions. Taken together, this collection of papers, supplemented by an introduction to the field and a commentary on major issues, presents a comprehensive and up-to-date perspective on a research area currently characterised by numerous theoretical and empirical disputes. The papers will be of particular appeal to readers interested in basic and applied psycholinguistics, attention and visual perception, motor control and the modelling of complex cognitive processes.




Basic Processes in Reading


Book Description

The chapters in this new book span the range of reading processes from early visual analysis to semantic influences on word identification, thus providing a state-of-the-art summary of current work and offering important contributions to prospective reading research. Basic Processes in Reading examines both future plans and past accomplishments in the world of word identification research. Three chapters provide a futuristic view taking a parallel distributed processing approach to semantic priming, phonology, and the identification of old words and the learning of new words. Reviews on eye movements in reading and semantic priming on word identification provide a retrospective summary of work on these issues as well as solid pointers for future investigations. Other chapters provide new demonstrations of the importance of phonological contributions to word identification, of interactive processes in the identification of handwritten words, and a re-evaluation of the processes involved in the neuropsychological syndrome described as "letter-by-letter" reading.




Connectionist Approaches to Natural Language Processing


Book Description

Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the field. It includes contributions from some of the best known researchers in CNLP and covers a wide range of topics. The book comprises four main sections dealing with connectionist approaches to semantics, syntax, the debate on representational adequacy, and connectionist models of psycholinguistic processes. The semantics and syntax sections deal with a variety of approaches to issues in these traditional linguistic domains, covering the spectrum from pure connectionist approaches to hybrid models employing a mixture of connectionist and classical AI techniques. The debate on the fundamental suitability of connectionist architectures for dealing with natural language processing is the focus of the section on representational adequacy. The chapters in this section represent a range of positions on the issue, from the view that connectionist models are intrinsically unsuitable for all but the associationistic aspects of natural language, to the other extreme which holds that the classical conception of representation can be dispensed with altogether. The final section of the book focuses on the application of connectionist models to the study of psycholinguistic processes. This section is perhaps the most varied, covering topics from speech perception and speech production, to attentional deficits in reading. An introduction is provided at the beginning of each section which highlights the main issues relating to the section topic and puts the constituent chapters into a wider context.




Biological and Computer Vision


Book Description

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.