Can we obtain insights about the brain using AI models? How is the information in deep
learning models related to brain recordings? Can we improve AI models with the help of …

Humans actively observe the visual surroundings by focusing on salient objects and
ignoring trivial details. However, computer vision models based on convolutional neural …

Despite advancements in artificial intelligence, object recognition models still lag behind in
emulating visual information processing in human brains. Recent studies have highlighted …

Deep convolutional neural networks (DCNNs) have demonstrated excellent performance in
object recognition and have been found to share some similarities with brain visual …

Decoding vision is an ambitious task as it aims to transform scalar brain activity into dynamic
images with refined shapes, colors and movements. In familiar environments, the brain may …

Understanding the neural mechanisms underlying biological motion perception remains a
significant challenge in neuroscience. To further explore this mechanism, we construct the …