By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores human vision from the retina to the visual cortex, covering topics like color vision, sensitivity to different wavelengths, and comparing human and computer vision processes.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.