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This volume highlights current theories of the lexicon from the perspective of its use in sentence understanding. It includes work from researchers in psycholinguistic studies on sentence comprehension.
This book attempts to marry truth-conditional semantics with cognitive linguistics in the church of computational neuroscience. To this end, it examines the truth-conditional meanings of coordinators, quantifiers, and collective predicates as neurophysiological phenomena that are amenable to a neurocomputational analysis. Drawing inspiration from work on visual processing, and especially the simple/complex cell distinction in early vision (V1), we claim that a similar two-layer architecture is sufficient to learn the truth-conditional meanings of the logical coordinators and logical quantifiers. As a prerequisite, much discussion is given over to what a neurologically plausible representation of the meanings of these items would look like. We eventually settle on a representation in terms of correlation, so that, for instance, the semantic input to the universal operators (e.g. and, all)is represented as maximally correlated, while the semantic input to the universal negative operators (e.g. nor, no)is represented as maximally anticorrelated. On the basis this representation, the hypothesis can be offered that the function of the logical operators is to extract an invariant feature from natural situations, that of degree of correlation between parts of the situation. This result sets up an elegant formal analogy to recent models of visual processing, which argue that the function of early vision is to reduce the redundancy inherent in natural images. Computational simulations are designed in which the logical operators are learned by associating their phonological form with some degree of correlation in the inputs, so that the overall function of the system is as a simple kind of pattern recognition. Several learning rules are assayed, especially those of the Hebbian sort, which are the ones with the most neurological support. Learning vector quantization (LVQ) is shown to be a perspicuous and efficient means of learning the patterns that are of interest. We draw a formal parallelism between the initial, competitive layer of LVQ and the simple cell layer in V1, and between the final, linear layer of LVQ and the complex cell layer in V1, in that the initial layers are both selective, while the final layers both generalize. It is also shown how the representations argued for can be used to draw the traditionally-recognized inferences arising from coordination and quantification, and why the inference of subalternacy breaks down for collective predicates. Finally, the analogies between early vision and the logical operators allow us to advance the claim of cognitive linguistics that language is not processed by proprietary algorithms, but rather by algorithms that are general to the entire brain. Thus in the debate between objectivist and experiential metaphysics, this book falls squarely into the camp of the latter. Yet it does so by means of a rigorous formal, mathematical, and neurological exposition – in contradiction of the experiential claim that formal analysis has no place in the understanding of cognition. To make our own counter-claim as explicit as possible, we present a sketch of the LVQ structure in terms of mereotopology, in which the initial layer of the network performs topological operations, while the final layer performs mereological operations.The book is meant to be self-contained, in the sense that it does not assume any prior knowledge of any of the many areas that are touched upon. It therefore contains mini-summaries of biological visual processing, especially the retinocortical and ventral /what?/ parvocellular pathways; computational models of neural signaling, and in particular the reduction of the Hodgkin-Huxley equations to the connectionist and integrate-and-fire neurons; Hebbian learning rules and the elaboration of learning vector quantization; the linguistic pathway in the left hemisphere; memory and the hippocampus; truth-conditional vs. image-schematic semantics; objectivist vs.
This handbook includes an overview of those areas of cognition and language processing that are relevant to the field of communication disorders, and provides examples of theoretical approaches to problems and issues in communication disorders. The first section includes a collection of chapters that outline some of the basic considerations and areas of cognition and language that underlie communication processing; a second section explains and exemplifies some of the influential theories of psycholinguistic/cognitive processing; and the third section illustrates theoretical applications to clinical populations. There is coverage of theories that have been either seminal or controversial in the research of communication disorders. Given the increasing multi-cultural workload of many practitioners working with clinical populations, chapters relating to bilingual populations are also included. The volume book provides a single interdisciplinary source where researchers and students can access information on psycholinguistic and cognitive processing theories relevant to clinical populations. A range of theories, models, and perspectives are provided. The range of topics and issues illustrate the relevance of a dynamic interaction between theoretical and applied work, and retains the complexity of psycholinguistic and cognitive theory for readers (both researchers and graduate students) whose primary interest is the field of communication disorders.
Describes neuropsychological approaches to the investigation, description, measurement and management of a wide range of mental illnesses.
A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling, neuroimaging, and genetic sequencing have made possible new approaches to the study of language, and the contributors draw on these developments. The book examines cognitive architectures, investigating the functional organization of the major language skills; learning and development trajectories, summarizing the current understanding of the steps and neurocognitive mechanisms in language processing; evolutionary and other preconditions for communication by means of natural language; computational tools for modeling language; cognitive neuroscientific methods that allow observations of the human brain in action, including fMRI, EEG/MEG, and others; the neural infrastructure of language capacity; the genome's role in building and maintaining the language-ready brain; and insights from studying such language-relevant behaviors in nonhuman animals as birdsong and primate vocalization. Section editors Christian F. Beckmann, Carel ten Cate, Simon E. Fisher, Peter Hagoort, Evan Kidd, Stephen C. Levinson, James M. McQueen, Antje S. Meyer, David Poeppel, Caroline F. Rowland, Constance Scharff, Ivan Toni, Willem Zuidema
This volume deals with research on the processing of a native language, second language learning, bilingualism, typical and impaired syntax processing. The articles presented here cover a number of linguistic phenomena, including passives, temporal concord, object pronouns, reflexives, embedded sentences, relative clauses, wh-movement, and binding theory. They also apply various experimental methods, such as eye tracking, reaction times, event-related potentials, picture selection tasks, sentence elicitation, pupillometry, and picture matching tasks. As such, this book details a number of the most representative methods used in language processing.
Writing is one of humankind's greatest inventions, and modern societies could not function if their citizens could not read and write. How do skilled readers pick up meaning from markings on a page so quickly, and how do children learn to do so? The chapters in the Oxford Handbook of Reading synthesize research on these topics from fields ranging from vision science to cognitive psychology and education, focusing on how studies using a cognitive approach can shed light on how the reading process works. To set the stage, the opening chapters present information about writing systems and methods of studying reading, including those that examine speeded responses to individual words as well as those that use eye movement technology to determine how sentences and short passages of text are processed. The following section discusses the identification of single words by skilled readers, as well as insights from studies of adults with reading disabilities due to brain damage. Another section considers how skilled readers read a text silently, addressing such issues as the role of sound in silent reading and how readers' eyes move through texts. Detailed quantitative models of the reading process are proposed throughout. The final sections deal with how children learn to read and spell, and how they should be taught to do so. These chapters review research with learners of different languages and those who speak different dialects of a language; discuss children who develop typically as well as those who exhibit specific disabilities in reading; and address questions about how reading should be taught with populations ranging from preschoolers to adolescents, and how research findings have influenced education. The Oxford Handbook of Reading will benefit researchers and graduate students in the fields of cognitive psychology, developmental psychology, education, and related fields (e.g., speech and language pathology) who are interested in reading, reading instruction, or reading disorders.
Human Memory, 4th edition, provides a comprehensive overview of research and theory on human memory. Written in an engaging style, the book is divided into three sections, providing an accessible introduction to the application and assessment of memory theory. Beginning with the history of memory, the first section explores basic methodology and neuroscience. The second section examines the key topics of memory such as the sensory registers, mechanisms of forgetting and short-term, nondeclarative, episodic, and semantic memory. The third section focuses on specialist topics such as amnesia, memory for space and time, autobiographical memory, memory and reality, memory and the law, metamemory and formal models of memory. Instructors could pick and chose which of these chapters best fit the goals of their course. New to this edition: More prominent discussion of neuroscience findings. Coverage of a wider range of neuroscientific techniques. Greater emphasis on memory changes over time. New explanation of how to calculate a wider range of signal detection measures. Additional content on a wide range of topics including the mirror effect, sleep-related memory processes, vicarious autobiographical memories, inter-generational memory transmission, the impact of lying on memory, eyewitness collaboration, and aging and spatial memory. Expanded coverage of areas including theories of hypermnesia, chunking, serial order memory, prospective memory, threshold models, and eyewitness line-up identification. Updated companion resources, including PowerPoint slides and exam questions. The book highlights the application of memory theory and findings to everyday experience, presents in-depth explorations of studies, and provides opportunities for students to explore the assessment of memory in more laboratory-based settings. Packed full of student-friendly pedagogy including study questions, Stop and Review and Try it Out sections, Study in Depth text boxes, and more, Human Memory, 4th edition is an essential companion for all students of human memory.