December 2025
Intermediate to advanced
544 pages
14h 4m
English
Content preview from Brain Informatics Technology
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15Unraveling the Neural Tapestry: Insights Into Brain Big Data Analytics, Curation, and Management
Tuhin James Paul1, Rojin G. Raj1, Amandeep Singh2, Md. Misbah1 and Khadga Raj Aran3*
1Department of Pharmacy Practice, ISF College of Pharmacy, Moga, Punjab, India
2Department of Pharmaceutics, ISF College of Pharmacy, Moga, Punjab, India
3Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
Abstract
The amount of neuroscience data has dramatically increased in recent years, leading to the emergence of the so-called “brain big data,” including data from neuroimaging, electrophysiological, and behavioral experiments. This chapter discusses the analytical, curatorial, and management approaches fundamental to dissecting the mysteries of the human brain, with emphasis on the models and instruments that fortify the utility, replicability, and accountability of brain data. For Human Brain Project, NIH BRAIN Initiative, and EBRAINS these are some examples of large-scale and interdisciplinary research initiatives, and some are Neurodata Without Borders (NWB) or Brain Imaging Data Structure (BIDS) which is a format aimed to facilitate integration and collaboration. Computational methods and principles in particular, ML and DL methods, are central to analyzing the brain data. A specific use of convolutional and recurrent neural networks is applied in applications like seizure prediction and analysis of EEG; knowledge graphs are used for understanding relationships between ...
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