Introduces virtual reality concepts and technologies for immersive interaction, covering essential topics and hands-on tutorials for practical VR development.
Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.
Explores the synergy between machine learning and neuroscience, showcasing how deep neural networks can predict neural responses and the challenges faced by AI in robotics.
Delves into the developmental perspective in visual intelligence, emphasizing the connection between vision and action, sensorimotor contingency, and the multimodal experience of babies.
Covers methods to restore conscious visual perception by projecting images directly onto the visual brain, bypassing the eyes, particularly for blind patients.
Explores the role of practice and training in rehabilitation, emphasizing the importance of effortful training and the use of stimulation to enhance motor function.
Delves into human senses, sensory stimulation, and immersion in virtual reality, emphasizing the importance of different sensory stimuli in creating realistic experiences.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.