December 2025
Intermediate to advanced
544 pages
14h 4m
English
Content preview from Brain Informatics Technology
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6Neural Networks: The Core Foundations, Challenges, and Applications in Brain Informatics
Madiha Munawar1, Monika Singh T.1*, Kishor Kumar Reddy C.1 and Marlia Mohd Hanafiah2
1Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India
2Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Abstract
Brain informatics is a field that merges neuroscience, artificial intelligence, and cognitive science in order to study the cognitive processes of the brain. Essential to brain informatics is the use of neural networks, which are a type of artificial intelligence model based on biological neurons and which have enhanced strategies for dealing with complex neuroimaging workloads, cognitive service designs, and brain emulations. They have found their applications in areas such as disease diagnosis, neuroimaging treatment, and personalized healthcare, which are focused on early intervention and treatment specific to the individual. Nevertheless, the use of artificial neural networks in brain informatics poses some difficulties as well, such as heavy computation, privacy issues, and the explainability of the models. Some of these challenges can be tackled to employ the full capabilities of neural networks through the advancements of neural network structures, their optimization, and multimodal data. The present paper reviews the most relevant applications, architectures, and optimization of neural ...
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