Cognitive and Neural Modelling for Visual Information Representation and Memorization

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A01=Limiao Deng
Author_Limiao Deng
bio-inspired algorithms
BP Neural Network
Category=PSAN5
Category=UYQM
Category=UYQV
CNN Feature
computational neuroscience
deep learning applications
Entorhinal Cortex
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
Free Energy
Gabor Filters
Image Patches
insect pest detection
Laspeyresia Pomonella
Locusta Migratoria
MBR
object classification methods
Online Defect Detection
Positive Dataset
RBM
Rem Model
S1 Layer
S2 Layer
Saliency Map
Sift Descriptor
Sparse Coding
Spodoptera Exigua
Support Vector Machine
Training Images
Training Samples
V1 Simple Cell
V2 Neurons
visual memory modelling in neuroscience
visual pattern analysis
Visual Perception Model

Product details

  • ISBN 9781032249117
  • Weight: 440g
  • Dimensions: 152 x 229mm
  • Publication Date: 25 Apr 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Limiao Deng is currently working as an associate professor in Qingdao Agriculture University, China. She received the Ph.D. degree in Control Theory and Control Engineering from China University of Petroleum in 2018. Her areas of research include computer vision, machine learning and pattern recognition. She is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, etc.

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