Brain Mapping

Brain mapping aims to understand the brain's structure and function by relating anatomical regions to cognitive processes and behaviors. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs), recurrent neural networks (RNNs like Bi-LSTMs), and generative adversarial networks (GANs) to analyze neuroimaging data (e.g., MRI) and model neural activity, often focusing on identifying regions associated with specific functions or diseases like Alzheimer's. These advancements enable more precise and automated analysis of brain images, leading to improved diagnostic tools and a deeper understanding of brain organization and its relationship to cognition and disease.