We report the case of a 39-year-old, temporal lobe epileptic male, MH. Prior to complex partial seizure, experienced up to three times a day, MH often experiences an aura experienced as a persistent sensation of déjà vu. Data-driven theories of déjà vu formation suggest that partial familiarity for the perceived stimulus is responsible for the sensation. Consequently, diverting attention away f...

Déjà vu, pronounced day-zhaa voo, is French for “already seen.” It describes the fascinating and strange experience where you feel that something is very familiar but you also know that this feeling of familiarity should not be as strong as it is. For example, you might be walking to school when you suddenly feel like you have been in exactly this situation before. Of course, you have been in t...

Genome Damage and Stability Centre, University of Sussex, East Sussex, BN1 9RQ, UK, Department of Clinical Genetics and Human Genetics, VU University Medical Center, Van der Boechorststraat 7, NL-1081 BT, Amsterdam, The Netherlands, Institute of Human Genetics, Charite-University Medicine Berlin, Augustenburger platz 1, Berlin 13353, Germany and Institute of Human Genetics, University of Aarhus...

The recall of information associated with recent actions is problematic for all people, especially when one is prone to be distracted or interrupted. In this paper, we introduce Déjà Vu Displays as resources for everyday memory recall. These displays augment "knowledge in the head" by visually displaying recent events as "knowledge in the world." As an initial study, we present the design and e...

Image: Stockbyte/Artville W HEN THE National Commission on Excellence in Education submitted A Nation at Risk to Secretary of Education Terrel Bell on 26 April 1983, there was little to suggest that this report would shine a spotlight on education that would last a quarter of a century. Indeed, not long after the release of this document, critics were already downplaying its recommendations. “T...

The recognition of high level clinical scenes is fundamental in patient monitoring. In this paper, we propose a technique for recognizing a session, i.e. the clinical process evolution, by comparison against a predetermined set of scenarios, i.e. the possible behaviors for this process. We use temporal constraint networks to represent both scenario and session. Specific operations on networks a...