Cognitive and Neural Modelling for Visual Information Representation and Memorization (Hardcover)


Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.

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Product Description

Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.

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Product Details

General

Imprint

Taylor & Francis

Country of origin

United Kingdom

Release date

April 2022

Availability

Expected to ship within 9 - 15 working days

First published

2022

Authors

Dimensions

229 x 152 x 22mm (L x W x T)

Format

Hardcover

Pages

249

ISBN-13

978-1-03-224911-7

Barcode

9781032249117

Categories

LSN

1-03-224911-0



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