Cognitive and Neural Modelling for Visual Information Representation and Memorization

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.

本書著重於人腦如何表徵、儲存和提取視覺資訊，並使用認知神經模型來展示視覺資訊在腦中的表徵和記憶方式。

作者突破了傳統的視覺資訊處理方法，將我們對人腦感知和記憶的理解與計算機視覺技術相結合，提供了一種新的圖像識別和分類方法。本書涉及生物視覺認知模型和人腦記憶模型的建立，並涉及到害蟲識別和胡蘿蔔檢測等應用。

由於涵蓋的主題範圍廣泛，本書對於對神經計算、計算機視覺和機器學習這個快速發展領域感興趣的學生、研究人員和從業人員來說是一個寶貴的資源。

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.

林妙登目前在中國青島農業大學擔任副教授。她於2018年從中國石油大學獲得控制理論和控制工程博士學位。她的研究領域包括計算機視覺、機器學習和模式識別。她也是知名期刊如IEEE、Springer、Elsevier等的常規審稿人。