Computational Models of Reading: A Handbook, Reichle Erik D.
Автор: John M. Henderson Название: Computational Approaches to Reading and Scene Perception ISBN: 1848727704 ISBN-13(EAN): 9781848727700 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Невозможна поставка. Описание: The goal of this special issue of Visual Cognition is to facilitate a constructive convergence of behavioral data and computational modeling to explore the fundamental nature of attention control, and particularly eye movement control, in viewing complex visual input.
Автор: Huajin Tang; Kay Chen Tan; Zhang Yi Название: Neural Networks: Computational Models and Applications ISBN: 3540692258 ISBN-13(EAN): 9783540692256 Издательство: Springer Рейтинг: Цена: 158380.00 T 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.
Автор: Concha Bielza, Pedro Larranaga Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models ISBN: 110849370X ISBN-13(EAN): 9781108493703 Издательство: Cambridge Academ Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Schmajuk Nestor Название: Computational Models of Conditioning ISBN: 0521113644 ISBN-13(EAN): 9780521113649 Издательство: Cambridge University Press Рейтинг: Цена: 135490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 182160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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?
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.
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