Brain Informatics Technology

Name: Brain Informatics Technology
Price: 180 USD
Availability: InStock
ISBN: 9781394345595

by Anamika Ahirwar, Ruby Bhatt, D. Dhanya

1st Edition

Publisher: Wiley-Scrivener

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Neuroscience

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Book Details

Print ISBN	9781394345595
eText ISBN	9781394345601
Publisher	Wiley-Scrivener
Publishing Year	2025
Edition	1st Edition
Language	English
Pages	544

Brain Informatics Technology, 1st Edition presents the theoretical and practical integration of information technology and neuroscience to explain computational methods applied to complex neurological data. The volume details how computational approaches contribute to artificial intelligence, robotics, and personalized healthcare. It establishes a multidisciplinary baseline designed for researchers and professionals in neuroscience, cognitive science, artificial intelligence, and data analytics.

The text details how researchers utilize measurement tools such as EEG and fMRI to examine human cognition, individual behavior, and various neurological disorders. Beyond observational research, the content outlines practical applications across customized medicine, healthcare diagnostics, instructional technology, and brain-inspired artificial intelligence systems. These thematic areas link raw empirical data to usable technical frameworks.

Featuring written contributions from active experts in brain informatics and cognitive technologies, the text provides a dedicated reference for academic departments and technical teams. The material supports specialized research and computational inquiry across professional laboratory settings.

Chapter 1: Foundations of Brain Informatics: An Overview
Chapter 2: Foundation of Cognitive and Computational Brain Science
Chapter 3: Future Directions and Challenges in Brain Informatics
Chapter 4: Data Acquisition Technologies in Brain Informatics: Tools and Techniques
Chapter 5: Ethical Consideration in Brain Informatics Color Blindness Research and Applications
Chapter 6: Neural Networks: The Core Foundations, Challenges, and Applications in Brain Informatics
Chapter 7: Neural Networks: Building Blocks of Brain Informatics
Chapter 8: Machine Learning Techniques for Brain and Health Data
Chapter 9: Machine Learning Revolutionizing Brain Health: Innovations and Future Directions
Chapter 10: Machine Learning in Brain and Health Data: Current Advances and Future Pathways
Chapter 11: Novel Study of MRI Brain Tumor Detection and Segmentation by Digital Image Processing Techniques
Chapter 12: Cognitive Brain Imaging Techniques and Their Applications in Intelligent Decision-Making
Chapter 13: Brain Cognitive Development Informatics System to Deal with Various Types of Autism Spectrum Disorder
Chapter 14: Cognitive Intelligence with Brain Imaging: Methodological Challenges
Chapter 15: Unraveling the Neural Tapestry: Insights Into Brain Big Data Analytics, Curation, and Management
Chapter 16: Mental Health Detection and Prediction through Machine Learning Technology: Issues and Future Opportunities
Chapter 17: Computationally Intelligent Techniques for Neuroscience Applications
Chapter 18: An Evaluation of Application‑Based Parent Guidance for Kids with Psychological Disorders
Chapter 19: Challenges and Future Direction of Brain Imaging Studies with Focus on Understanding