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 …
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 …
CM Conway - Neuroscience & Biobehavioral Reviews, 2020 - Elsevier
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 …
GS Dell, F Chang - … Transactions of the Royal Society B …, 2014 - royalsocietypublishing.org
This article introduces the P-chain, an emerging framework for theory in psycholinguistics that unifies research on comprehension, production and acquisition. The framework …
N Cowan - Behavioral and brain sciences, 2001 - cambridge.org
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 …
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 …
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 …