Name: Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives
Author: Ramamurthy
ISBN: 9780443414596

Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives book cover

Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives

Author(s): Ramamurthy

Publisher: Academic Press
Publication Date: 1 May 2026
Language: English
Print length: 366 pages
ISBN-10: 0443414599
ISBN-13: 9780443414596

Book Description

Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics, covering the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. The book addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder, bridging the gap between neuroscience and artificial intelligence. It is an ideal resource for researchers, practitioners, and students with insights from leading experts.

Consolidates scattered information on deep learning techniques in neuroimaging data analysis, facilitating access for researchers, practitioners, and students
Explores deep learning algorithms applied to various neuroimaging data types, including EEG, MRI, and PET scans
Highlights methodologies like CNNs and RNNs
Includes real-world case studies that demonstrate how deep learning enhances research and clinical applications, such as identifying biomarkers for Alzheimer's disease and stroke

Editorial Reviews

Review

Contains contributions from leading experts on current challenges, future opportunities, and ethical considerations in deploying deep learning models

From the Back Cover

Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics. This book covers the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. It addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder. The book bridges the gap between neuroscience and artificial intelligence, making it ideal for researchers, practitioners, and students. It offers insights from leading experts and provides a clear pathway from fundamental concepts to advanced research and future trends in the field.

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