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

by Karthik Ramamurthy (Editor)

"Deep Learning Applications in 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.• 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, highlighting methodologies like CNNs and RNNs • Includes real-world case studies demonstrating how deep learning enhances research and clinical applications, such as identifying biomarkers for Alzheimer's disease and stroke

400 pages, Paperback

Expected publication May 15, 2026