Super-resolution is the creation of higher resolution views of pixel-based images through interpolation between the original pixels. Greater super-resolution can be achieved by taking advantage of local regularities inherent in natural images. In this paper, to learn regularities, we make use of the recently proposed SINBAD model of how the cerebral cortical network learns regularities by disco...

Assessing whether domain-general mechanisms could account for language acquisition requires determining whether statistical regularities among surface cues in child directed speech (CDS) are sufficient for inducing deep syntactic and semantic structure. This paper reports a case study on the relation between pronoun usage in CDS, on the one hand, and broad verb classes, on the other. A corpus a...

The visual system is an efficient statistician, extracting statistical summaries over sets of objects (statistical summary perception) and statistical regularities among individual objects (statistical learning). Although these two kinds of statistical processing have been studied extensively in isolation, their relationship is not yet understood. We first examined how statistical summary perce...