Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores bioelectronics, types of blindness, and retinal implants for restoring vision, covering challenges and advancements in artificial sight technologies.
Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.
Explores classical vision theories, including Gestaltism, ecological approach, and constructivism, covering concepts like bottom-up vs. top-down processing.
Delves into the developmental perspective in visual intelligence, emphasizing the connection between vision and action, sensorimotor contingency, and the multimodal experience of babies.