Cognitive Informatics, Computer Modelling, and Cognitive Science

Cognitive Informatics, Computer Modelling, and Cognitive Science

Volume 1: Theory, Case Studies, and Applications

1st Edition - April 7, 2020

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  • Editors: Ganesh Sinha, Jasjit Suri
  • eBook ISBN: 9780128194447
  • Paperback ISBN: 9780128194430

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Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways cognitive computing is used for information manipulation, processing and decision-making. Mathematical and computational models, structures and processes of the human brain are also covered, along with advances in machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics.

Key Features

  • Identifies how foundational theories and concepts in cognitive science are applicable in other fields
  • Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM
  • Includes models of brain processing, consciousness, decision-making, and more
  • Provides in-depth technical coverage of cognitive informatics and computing, including coverage of cognitive knowledge base, information theory, cognitive machine learning and intelligence


Biomedical Engineers and researchers in neural engineering and artificial intelligence; data science researchers

Table of Contents

  • 1. Introduction to cognitive science, informatics, and modeling
    2. Machine consciousness: mind, machine, and society contributors
    3. Brain-computer interface and neurocomputing
    4. The impact on cognitive development of a self-contained exploratory and technology-rich course on the physics of light and sound
    5. Identification of normal and abnormal brain hemorrhage on magnetic resonance images
    6. Cognitive informatics, computer modeling and cognitive science assessment of knee osteoarthritis in radiographic images: a machine learning approach
    7. Adaptive circadian rhythm a cognitive approach through dynamic light management
    8. Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization
    9. The future networks - a cognitive approach
    10. Identification of face along with configuration beneath unobstructed ambiance via reflective deep cascaded neural networks
    11. Setting up a neural machine translation system for English to Indian languages
    12. An extreme learning-based adaptive control design for an autonomous underwater vehicle
    13. Geometric total plaque area is an equally powerful phenotype compared to carotid intima-mediathickness for stroke risk assessment
    14. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
    15. Identification of road signs using a novel convolutional neural network
    16. Machine learning behind classification tasks in various engineering and science domains

Product details

  • No. of pages: 410
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: April 7, 2020
  • Imprint: Academic Press
  • eBook ISBN: 9780128194447
  • Paperback ISBN: 9780128194430

About the Editors

Ganesh Sinha

Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar. To his credit are 255 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications from Chapman and Hall/CRC Press, Advances in Biometrics from Springer, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches from Elsevier Academic Press. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.

Affiliations and Expertise

Adjunct Professor, International Institute of Information Technology Bengaluru (IIITB), Bangalore, Karnataka, India.

Jasjit Suri

Jasjit S. Suri, PhD, MBA, FIEEE, FAMIBE, FAIUM, FSVM, FAPVS, is an innovator, visionary, scientist, and an internationally known world leader in Biomedical Engineering and its management. Dr. Suri received the Director General's Gold Medal in 1980 as well as a Lifetime Achievement Award from Marquis in 2018. He is a Fellow of Institute of Electrical and Electronics Engineering (IEEE, 2021), American Institute of Medical and Biological Engineering (AIMBE, 2004), awarded by the National Academy of Sciences, Washington DC, American Institute of Ultrasound in Medicine (AIUM, 2019), Society of Vascular Medicine (SVM, 2021), and Asia Pacific Vascular Society (APVS, 2020). He is currently Chairman of AtheroPoint™ in Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly 25,000 citations, co-authored 60 books, and holds 50 US/European patents.

Affiliations and Expertise

Chairman of AtheroPoint, Roseville, CA, USA

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