The Structure and Representation of Concepts in Parallel Distribution Associative Memory Models PDF Download
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Author: Janet Wiles
Publisher:
ISBN: 9780949100412
Category : Computational complexity
Languages : en
Pages : 22
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Book Description
Author: Janet Wiles
Publisher:
ISBN: 9780949100412
Category : Computational complexity
Languages : en
Pages : 22
Get Book Here
Book Description
Author: Geoffrey E. Hinton
Publisher: Psychology Press
ISBN: 1317785215
Category : Psychology
Languages : en
Pages : 350
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Book Description
This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
Author: Geoffrey E. Hinton
Publisher: Psychology Press
ISBN:
Category : Computers
Languages : en
Pages : 360
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Book Description
This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
Author: Geoffrey E. Hinton
Publisher: Psychology Press
ISBN: 1317785207
Category : Psychology
Languages : en
Pages : 378
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Book Description
This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
Author: Thad A. Polk
Publisher: MIT Press
ISBN: 9780262661164
Category : Psychology
Languages : en
Pages : 1300
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Book Description
A comprehensive introduction to the computational modeling of human cognition.
Author: Eric L. Schwartz
Publisher: MIT Press
ISBN: 9780262691642
Category : Computational neuroscience
Languages : en
Pages : 468
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Book Description
The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience. They review this emerging field in historical and philosophical overviewsand in stimulating summaries of recent results. Leading researchers address the structure of thebrain and the computational problems associated with describing and understanding this structure atthe synaptic, neural, map, and system levels.The overview chapters discuss the early days of thefield, provide a philosophical analysis of the problems associated with confusion between brainmetaphor and brain theory, and take up the scope and structure of computationalneuroscience.Synaptic-level structure is addressed in chapters that relate the properties ofdendritic branches, spines, and synapses to the biophysics of computation and provide a connectionbetween real neuron architectures and neural network simulations.The network-level chapters take upthe preattentive perception of 3-D forms, oscillation in neural networks, the neurobiologicalsignificance of new learning models, and the analysis of neural assemblies and local learningrides.Map-level structure is explored in chapters on the bat echolocation system, cat orientationmaps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, andcomputer-aided reconstruction of topographic and columnar maps in primates.The system-level chaptersfocus on the oculomotor system VLSI models of early vision, schemas for high-level vision,goal-directed movements, modular learning, effects of applied electric current fields on corticalneural activity neuropsychological studies of brain and mind, and an information-theoretic view ofanalog representation in striate cortex.Eric L. Schwartz is Professor of Brain Research and ResearchProfessor of Computer Science, Courant Institute of Mathematical Sciences, New York UniversityMedical Center. Computational Neuroscience is included in the System Development FoundationBenchmark Series.
Author: Gary F. Marcus
Publisher: MIT Press
ISBN: 0262354403
Category : Psychology
Languages : en
Pages : 241
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Book Description
In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of symbols, Marcus outlines a variety of ways in which neural systems could be organized so as to manipulate symbols, and he shows why such systems are more likely to provide an adequate substrate for language and cognition than neural systems that are inconsistent with the manipulation of symbols. Concluding with a discussion of how a neurally realized system of symbol-manipulation could have evolved and how such a system could unfold developmentally within the womb, Marcus helps to set the future agenda of cognitive neuroscience.
Author: Andy Clark
Publisher: Springer Science & Business Media
ISBN: 1447119231
Category : Computers
Languages : en
Pages : 190
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Book Description
Connectionism in Context aims to broaden and extend the debate concerning the significance of connectionist models. The volume collects together a variety of perspectives by experimental and developmental psychologists, philosophers and active AI researchers. These contributions relate con- nectionist ideas to historical psychlogical debates, e.g., over behaviourism and associationism, to develop- mental and philosophical issues. The result is a volume which addresses both familiar, but central, topics such as the relation between connectionism and classical AI, and less familiar, but highly challenging topics, such as connectionism,associationism and behaviourism, the dis- tinction between perception and cognition, the role of en- vironmental structure, and the potential value ofconnec- tionism as a means of "symbol grounding". The nine essays have been written with an interdisciplinary audience in mind and avoid both technical jargon and heavy mathematics.
Author: Harry Wechsler
Publisher: Academic Press
ISBN: 1483260259
Category : Computers
Languages : en
Pages : 543
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Book Description
Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
Author: Tiansi Dong
Publisher: Springer Nature
ISBN: 3030562751
Category : Technology & Engineering
Languages : en
Pages : 155
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Book Description
The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua It is indeed wonderful to see the reviving of the important theme Nural Symbolic Model. Given the popularity and prevalence of deep learning, symbolic processing is often neglected or downplayed. This book confronts this old issue head on, with a historical look, incorporating recent advances and new perspectives, thus leading to promising new methods and approaches. -Ron Sun (RPI), on Governing Board of Cognitive Science Society Both for language and humor, approaches like those described in this book are the way to snickerdoodle wombats. -Christian F. Hempelmann (Texas A&M-Commerce) on Executive Board of International Society for Humor Studies
