Visual Circuit

Visual circuit research focuses on understanding how neural networks process visual information, aiming to bridge the gap between biological vision and artificial intelligence. Current efforts involve developing bio-inspired computational models, such as those based on retinal or avian visual pathways, and analyzing the functionality of deep neural networks through techniques like feature visualization and circuit extraction. This research is significant for advancing both our understanding of biological vision and for creating more efficient and robust computer vision systems, with applications ranging from retinal prosthetics to improved image processing and object recognition.