This work reports an empirical examination of two key issues in theoretical neuroscience: distractibility in the context of working memory (WM) and its reward dependence. While the...
Justin R. Chumbley, Raymond J. Dolan, Karl J. Fris...
In this paper, we will analyze the behavior of several parameters, namely type of contexts, similarity measures, and word space models, in the task of word similarity extraction fr...
We propose that bio-inspired algorithms are best developed and analysed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models...
Susan Stepney, Robert E. Smith, Jonathan Timmis, A...
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Multi-context systems can be used to represent contextual information and inter-contextual information flow. We show that the local model semantics of a multi-context system is co...