Ventral Stream

The ventral visual stream is a neural pathway processing object recognition and visual information, crucial for understanding "what" we see. Current research focuses on improving computational models, particularly deep convolutional neural networks (CNNs), to better mimic the stream's hierarchical processing and robustness, often incorporating recurrent connections and biologically-inspired architectural constraints like center-surround antagonism. These efforts aim to enhance the accuracy and explainability of artificial vision systems while simultaneously deepening our understanding of the brain's visual processing mechanisms. Ultimately, this research contributes to both advancements in artificial intelligence and a more complete neuroscientific understanding of visual perception.