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 …

Damage to the hippocampal system disrupts recent memory but leaves remote memory
intact. The account presented here suggests that memories are first stored via synaptic …

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 …

A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of
functional diversity in brain regions and networks. The computer analogy of the mind has …

The principles of recency and contiguity are two cornerstones of the theoretical and
empirical analysis of human memory. Recency has been alternatively explained by …

The ability to automatically and implicitly detect complex and noisy regularities in the
environment is a fundamental aspect of human cognition. Despite considerable interest in …

The domain-general learning mechanisms elicited in incidental learning situations are of
potential interest in many research fields, including language acquisition, object knowledge …

A number of ways of taxonomizing human learning have been proposed. We examine the
evidence for one such proposal, namely, that there exist independent explicit and implicit …

Two experiments investigated the performance of first-grade children and adults on an
incidental language-learning task. Learning entailed word segmentation from continuous …

This is a report on a computerized experiment with a miniature linguistic system, consisting
of five morphological rules and a lexicon of 98 words. Two hypotheses derived from the …