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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 classical vision theories, including Gestaltism, ecological approach, and constructivism, covering concepts like bottom-up vs. top-down processing.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
