Description

While neuroscientists garner success in identifying brain regions and in analyzing individual neurons, ground is still being broken at the intermediate scale of understanding how neurons combine to encode information. This book proposes a method of representing information in a computer that would be suited for modelling the brain's methods of processing information. Holographic reduced representations (HRRs) are introduced here to model how the brain distributes each piece of information among thousands of neurons. It has been previously thought that the grammatical structure of a language cannot be encoded practically in a distributed representation, but HRRs can overcome the problems of earlier proposals. Thus this work has implications for psychology, neuroscience, linguistics, computer science and engineering.

Holographic Reduced Representation: Distributed Representation for Cognitive Structures

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Paperback / softback by Tony A. Plate

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While neuroscientists garner success in identifying brain regions and in analyzing individual neurons, ground is still being broken at the... Read more

    Publisher: Centre for the Study of Language & Information
    Publication Date: 01/04/2003
    ISBN13: 9781575864303, 978-1575864303
    ISBN10: 1575864304

    Number of Pages: 250

    Non Fiction , Mathematics & Science , Education

    Description

    While neuroscientists garner success in identifying brain regions and in analyzing individual neurons, ground is still being broken at the intermediate scale of understanding how neurons combine to encode information. This book proposes a method of representing information in a computer that would be suited for modelling the brain's methods of processing information. Holographic reduced representations (HRRs) are introduced here to model how the brain distributes each piece of information among thousands of neurons. It has been previously thought that the grammatical structure of a language cannot be encoded practically in a distributed representation, but HRRs can overcome the problems of earlier proposals. Thus this work has implications for psychology, neuroscience, linguistics, computer science and engineering.

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