Objective The machine handling of complex sensory stimuli is an extremely important but, as yet, elusive engineering goal. Biological organisms are good at detecting and identifying 'out-of-the-ordinary' events. Machines function best in unchanging, stationary environments, in which all event types are represented in the training data. The goal of the project is to address this machine weakness.We will design and develop an environment-adaptive autonomous active system that will detect and identify rare events from the information derived by multiple, active information-seeking sensors. Such a system will probe for relevant cues, will autonomously adapt to new and changing environments, and will reliably discard non-informative data.The project offers an integrated approach, ranging from neurophysiological research at the single cell level, up to building an engineering system. We aim at safety and security applications, but the results of the development will be equally relevant to a wide range of other applications in information and communication technology, unobtrusive monitoring in healthcare, and intelligent devices that enhance human cognitive performance.The progress in our research will be measured by two criteria:- qualitative - consistency of new models with physiological and psychophysical data, and-quantitative - including the newly developed techniques in state-of-the-art information processing technology and evaluating the improvements in performance.To achieve our goals, we have assembled partners with a strong motivation to advance the basic science of understanding and modeling cognitive systems, with equally strong interest in building useful technology.Besides the fulfilment of our scientific and technological goals, another important result of DIRAC will be long lasting collaboration between cognitive sciences and engineering, resulting in a new generation of researchers, trained in both cognitive disciplines and in engineering. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssocial sciencespsychologycognitive psychologynatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Topic(s) IST-2004-2.4.8 - Cognitive Systems Call for proposal Data not available Funding Scheme IP - Integrated Project Coordinator IDIAP (FONDATION DE L'INSTITUT DALLE MOLLE D'INTELLIGENCE ARTIFICIELLE PERCEPTIVE) EU contribution No data Address RUE DU SIMPLON 4 1920 MARTIGNY Switzerland See on map Total cost No data Participants (7) Sort alphabetically Sort by EU Contribution Expand all Collapse all CARL VON OSSIETZKY UNIVERSITAET OLDENBURG Germany EU contribution No data Address AMMERLAENDER HEERSTRASSE 114-118 26111 OLDENBURG See on map Total cost No data CESKE VYSOKE UCENI TECHNICKE V PRAZE Czechia EU contribution No data Address ZIKOVA 4 166 36 PRAHA 6 See on map Total cost No data EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Switzerland EU contribution No data Address RAEMISTRASSE 101 8092 ZUERICH See on map Total cost No data KATHOLIEKE UNIVERSITEIT LEUVEN Belgium EU contribution No data Address OUDE MARKT 13 3000 LEUVEN See on map Total cost No data LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE Germany EU contribution No data Address BRENNECKESTRASSE 6 39118 MAGDEBURG See on map Total cost No data OREGON HEALTH AND SCIENCE UNIVERSITY United States EU contribution No data Address 3181 SW SAM JACKSON PARK ROAD 97239-3098 PORTLAND, OREGON See on map Total cost No data THE HEBREW UNIVERSITY OF JERUSALEM Israel EU contribution No data Address MT. SCOPUS 91905 JERUSALEM See on map Total cost No data