Ventral Visual

The ventral visual stream is a crucial pathway in the brain responsible for object recognition, and current research focuses on understanding its hierarchical processing and improving the robustness of artificial models mimicking its function. Researchers are employing deep convolutional neural networks (CNNs), including autoencoders and transformers, often incorporating dual-stream architectures inspired by the brain's parallel processing, to model ventral stream activity and improve the generalization and robustness of computer vision systems. This work aims to bridge the gap between human visual perception and artificial intelligence, leading to more accurate, robust, and biologically plausible models for object recognition and other visual tasks.