This paper attempts to evaluate quantitatively the performance trade-offs involved in applying object-oriented software methodologies to region-based representations of images and image sequences. Spatial or temporal multiscale representations of these regions are used as an example for the different levels of granularity that can be encapsulated separately as self-contained objects within thes...

While ongoing experience proceeds continuously, memories of past experience are often recalled as episodes with defined beginnings and ends. The neural mechanisms that lead to the formation of discrete episodes from the stream of neural activity patterns representing ongoing experience are unknown. To investigate these mechanisms, we recorded neural activity in the rat hippocampus and prefronta...

Visual working memory (VWM) is widely thought to contain specialized buffers for retaining spatial and object information: a 'spatial-object architecture.' However, studies of adults, infants, and nonhuman animals show that visual cognition builds on core knowledge systems that retain more specialized representations: (1) spatiotemporal representations for object tracking, (2) object identity r...

Recent evidence suggests that the hippocampus may integrate overlapping memories into relational representations, or schemas, that link indirectly related events and support flexible memory expression. Here we explored the nature of hippocampal neural population representations for multiple features of events and the locations and contexts in which they occurred. Hippocampal networks developed ...

In this paper we present a hybrid approach for the acquisition of syntacticosemantic patterns from raw text. Our approach co-trains a decision list learner whose feature space covers the set of all syntactico-semantic patterns with an Expectation Maximization clustering algorithm that uses the text words as attributes. We show that the combination of the two methods always outperforms the decis...

Temporal information plays an important role in many NLP applications. The identification of temporal relations between temporal entities (events and temporal expressions) is indispensable in obtaining the temporal interpretation of a given text. This paper presents our approach for discovering temporal relations using the temporal annotation system we have developed. This system is called TICT...

This paper addresses the issue of the structure of graphemic output representations via an analysis of the spelling performance of a patient with acquired dysgraphia. It is argued that the patient’s pattern of performance with words that contain double letters (e.g., ‘‘bb’’ in ‘‘rabbit’’) is inconsistent with the view that graphemic representations are simple linear sequences of graphemes (or a...

This chapter reviews computational representations of human behavior involving three training principles discussed in preceding chapters (especially chapters 2, 3, and 5): Speed–accuracy trade-off attributable to fatigue, training diffi culty, and stimulus-response compatibility. Effects of these three training principles were modeled using the ACT-R cognitive architecture (Anderson & Lebiere, ...