Computational Neuroscience and Brain Mapping
This track focuses on the application of computational models, simulations, and advanced imaging techniques to understand brain function and structure. Computational neuroscience helps decode how networks of neurons process information, from sensory input to motor control. Topics include neural coding, synaptic dynamics, and large-scale brain simulations. Brain mapping techniques such as fMRI, EEG, and connect omics are highlighted, offering high-resolution views of neural connectivity and function. Participants will explore how artificial intelligence and machine learning are revolutionizing neuroscience research and clinical practice. The track also examines brain-computer interfaces and neuroinformatics platforms that integrate massive datasets for personalized medicine.