Temporal maps and informativeness in associative learning

Temporal maps and informativeness in associative learning.

Neurobiological research on learning assumes that temporal contiguity is essential for association formation, but what constitutes temporal contiguity has never been specified. We review evidence that learning depends, instead, on learning a temporal map. Temporal relations between events are encoded even from single experiences. The speed with which an anticipatory response emerges is proporti...

Increasing Informativeness in Temporal Annotation

In this paper, we discuss some of the challenges of adequately applying a specification language to an annotation task, as embodied in a specific guideline. In particular, we discuss some issues with TimeML motivated by error analysis on annotated TLINKs in TimeBank. We introduce a document level information structure we call a narrative container (NC), designed to increase informativeness and ...

Associative learning and memory duration of Trichogramma brassicae

Learning ability and memory duration are two inseparable factors which can increase theefficiency of a living organism during its lifetime. Trichgramma brassice Bezdenko (Hym.:Trichogrammatidae) is a biological control agent widely used against different pest species.This research was conducted to study the olfactory associative learning ability and memoryduration of T. brassicae under laborato...

Concept maps and meaningful learning in medical education

Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier

The k nearest neighbor is one of the most important and simple procedures for data classification task. The kNN, as it is called, requires only two parameters: the number of k and a similarity measure. However, the algorithm has some weaknesses that make it impossible to be used in real problems. Since the algorithm has no model, an exhaustive comparison of the object in classification analysis...