Human Visual System

The human visual system is a complex biological system responsible for processing visual information, with research aiming to understand its mechanisms and replicate its capabilities in artificial systems. Current research focuses on modeling specific components like the lateral geniculate nucleus and visual cortex using deep convolutional neural networks, including autoencoders and vision transformers, often incorporating biologically-inspired features such as retinotopic mapping and dual-stream processing. This research is significant for advancing both our understanding of biological vision and for improving the performance and robustness of computer vision systems, particularly in areas like object recognition, image quality assessment, and robotic vision.