Delves into centrality and hubs in network neuroscience, exploring node importance, small-world networks, brain structural connectome, and percolation theory.
Explores the importance of the hippocampus in memory and spatial navigation, discussing its unique structure and implications for broader brain research.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.