The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Many findings have demonstrated that memories of past events are temporally organized. It
is well known that the hippocampus is critical for such episodic memories, but, until recently …

In this paper, we present an approach for learning a visual representation from the raw
spatiotemporal signals in videos. Our representation is learned without supervision from …

Every instant of perception depends on a cascade of brain processes calibrated to the
history of sensory and decisional events. In the present work, we show that human visual …

Background Dementia has been presenting an imminent public health challenge worldwide.
Studies have shown a combination of cognitive and physical trainings may have synergistic …

A dynamic interplay exists between Internally-Based (IBT) and Externally-Cued (ECT) time
processing. While IBT processes support the self-generation of context-independent …

The hippocampus and dorsal striatum are both associated with temporal processing, but
they are thought to play distinct roles. The hippocampus has been reported to contribute to …

The acquisition of information on the timing of events or actions (temporal learning) occurs in
both the subsecond and suprasecond range. However, although relevant differences …

We propose a convolutional recurrent neural network (ConvRNNs), with winner-take-all
(WTA) dropout for high-dimensional unsupervised feature learning in multidimensional time …

Learning the structure of the environment is critical for interpreting the current scene and
predicting upcoming events. However, the brain mechanisms that support our ability to …