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 …

While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

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 …

Any mature field of research in psychology—such as short-term/working memory—is
characterized by a wealth of empirical findings. It is currently unrealistic to expect a theory to …

Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Explicit Learning in the L2 Classroom offers a unique five-prong (theoretical, empirical,
methodological, pedagogical, and model building) approach to the issue of explicit learning …

This article introduces the P-chain, an emerging framework for theory in psycholinguistics
that unifies research on comprehension, production and acquisition. The framework …

Miller (1956) summarized evidence that people can remember about seven chunks in short-
term memory (STM) tasks. However, that number was meant more as a rough estimate and …

Our experience of the world seems to divide naturally into discrete, temporally extended
events, yet the mechanisms underlying the learning and identification of events are poorly …

The idea of one's memory" filling up" is a humorous misconception of how memory in
general is thought to work; it is actually has no capacity limit. However, the idea of a" full …