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Computational Models of Reading: A Handbook, Reichle Erik D.


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Цена: 19656.00р.
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Автор: Reichle Erik D.
Название:  Computational Models of Reading: A Handbook
ISBN: 9780195370669
Издательство: Oxford Academ
Издательство: Oxford University Press, USA
Классификация:


ISBN-10: 019537066X
Обложка/Формат: Hardcover
Страницы: 608
Вес: 1.00 кг.
Дата издания: 12.02.2021
Серия: Oxford series on cognitive models and architectures
Язык: English
Размер: 23.88 x 15.49 x 3.81 cm
Читательская аудитория: General (us: trade)
Подзаголовок: A handbook
Ссылка на Издательство: Link
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Поставляется из: США
Описание: This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations that allow us to understand the contents of what we are reading. Computational Models of Reading assumes no prior knowledge of the topic and is intended for psychologists, linguists, and educators who are interested in gaining a better understanding of what happens in the mind during reading. Erik D. Reichle includes introductory chapters on reading research and computational modelling, and the core chapters of the book review both important empirical findings and the models designed to explain those findings within four domains of reading research: word identification, sentence processing, discourse representation, and eye-movement control (which involves coordinating word, sentence, and discourse processing with the perceptual, cognitive, and motoric systems responsible for vision, attention, and eye movements). The final chapter of the book describes a new integrative model of reading, �ber-Reader, and several simulations using the models that demonstrate how it explains several key reading phenomena.



Neural Networks: Computational Models and Applications

Автор: Huajin Tang; Kay Chen Tan; Zhang Yi
Название: Neural Networks: Computational Models and Applications
ISBN: 3540692258 ISBN-13(EAN): 9783540692256
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence.

Data-Driven Computational Neuroscience: Machine Learning and Statistical Models

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
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Цена: 12830.00 р.
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Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

The Oxford Handbook of Reading (Oxford Library of Psychology)

Автор: Alexander Pollatsek (Editor), Rebecca Treiman (Edi
Название: The Oxford Handbook of Reading (Oxford Library of Psychology)
ISBN: 0199324573 ISBN-13(EAN): 9780199324576
Издательство: Oxford Academ
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Цена: 27324.00 р.
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Описание: 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?

Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information

Автор: Marr David
Название: Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information
ISBN: 0262514621 ISBN-13(EAN): 9780262514620
Издательство: MIT Press
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Цена: 7618.00 р.
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Описание:

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.

Computational Models of Conditioning

Автор: Schmajuk Nestor
Название: Computational Models of Conditioning
ISBN: 0521113644 ISBN-13(EAN): 9780521113649
Издательство: Cambridge University Press
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Цена: 20323.00 р.
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Описание: Mathematical models are required to describe the intricacies of classical conditioning. Their complexity puts their workings of those models beyond the ability of our intuitive thinking, and makes computer simulations irreplaceable. The latest advancements in the field of mathematical theories of conditioning and some of their physiological bases are presented.


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