Artificial vision has often been described as one of the key remaining challenges to be
solved before machines can act intelligently. Recent developments in a branch of machine …

Predictive-coding has justifiably become a highly influential theory in Neuroscience.
However, the possibility of its unfalsifiability has been raised. We argue that if predictive …

The human visual system is an intricate network of brain regions that enables us to
recognize the world around us. Despite its abundant lateral and feedback connections …

Video anomaly detection is a challenging problem due to the ambiguity and complexity of
how anomalies are defined. Recent approaches for this task mainly utilize deep …

Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown to
be able to predict and decode cortical responses to natural images or videos. Here, we …

The backpropagation of error algorithm used to train deep neural networks has been
fundamental to the successes of deep learning. However, it requires sequential backward …

Emotion is an indispensable part of human emotion, which affects human normal
physiological activities and daily life decisions. Human emotion recognition is a critical …

Based on the predictive coding theory in neuro-science, we designed a bi-directional and
recur-rent neural net, namely deep predictive coding networks (PCN), that has feedforward …

Artificial intelligence (AI) is rapidly becoming one of the key technologies of this century. The
majority of results in AI thus far have been achieved using deep neural networks trained with …

Given the rich visual information available in each glance, humans can internally direct their
visual attention to enhance goal-relevant information---a capacity often absent in standard …