Cognitive and Neural Modelling for Visual Information Representation and Memorization

This book explores how visual information is represented, stored, and extracted in the human brain using cognitive neural modeling and computer vision technology. It provides a new approach for image recognition and classification and covers applications such as pest recognition and carrot detection. It is a valuable resource for students, researchers, and practitioners in neurocomputing, computer vision, and machine learning.

Format: Hardback
Length: 249 pages
Publication date: 25 April 2022
Publisher: Taylor & Francis Ltd

Focusing on the intricate mechanisms of how visual information is represented, stored, and extracted within the human brain, this comprehensive book employs cognitive neural modeling to unveil the fascinating processes involved in visual representation and memory. By transcending conventional approaches to visual information processing, the author skillfully integrates our understanding of human perception and memory with cutting-edge computer vision technology, offering a novel framework for image recognition and classification. While robust biological visual cognition models and human brain memory models are established, this book also delves into practical applications such as pest recognition and carrot detection. Given the broad scope of topics addressed, this book serves as an invaluable resource for students, researchers, and practitioners actively engaged in the rapidly advancing domains of neurocomputing, computer vision, and machine learning.

Dimension: 229 x 152 (mm)
ISBN-13: 9781032249117