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Learning to attend to the worldAttention is becoming well studied, but still poses a basic fundamental puzzle: how is attention computationally achieved by the brain? More specifically, how do object and spatial representations achieve their attended forms? When a face, or a stimulus at a given spatial position, for example, is attended, various regions in the brain show increased activity, as observed by PET or fMRI. We propose to use experimental data, together with the framework of engineering control theory (recently applied very successfully to motor control achieved by the brain), along with neural simulations and mathematical analyses, to answer this question.See the full project page |
Exploring the interaction of human attention and emotionThis project is funded under the Biotechnology and Biological Sciences Research Council (BBSRC) 'Integrative Analysis of Brain and Behaviour. initiative and involves the collaboration of psychologists, experimental and computational neuroscientists from the University of Wales, Bangor, University of Oxford, Birkbeck and King's College of the University of London (see People). The main focus of the project is the study of the interaction of attention and emotion in the human brain through a combination of behavioural and neuroimaging (fMRI and EEG) experiments and computational modelling. Through this collaborative effort we hope to help understand better what the underlying neural mechanisms of these brain functions are and begin to bridge the knowledge gap between human behaviour and its neural substrate.See the full project page |
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A conceptual role for cognitive agentsThe project will develop and validate a conceptual architecture for Cognitive Agents. The architecture will integrate the cycle of perception-knowledge acquisition-abstraction-reasoning-action generation. Special focus will be given to the abstraction architecture. The concept system is the representation of the knowledge that the agent possesses of its environment and itself. Objects, relations, goals, context information, and solution strategies are considered as knowledge about a situation. The abstraction mechanism is responsible for creating and organising a hierarchy of concepts while the reasoning process operates on the concept system in order to make inferences for virtual actions and select the one that will realise the greatest reward.See the full project page |
Emotionally Rich Man-machine Interaction Systems - ERMISThe aim of the ERMIS project is the development of a prototype system for human computer interaction that can interpret its users' attitude or emotional state - for example, activation/interest, boredom and anger levels in terms of their speech and/or their facial gestures and expressions.See the full project page |
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HUMAINE (Human-Machine Interaction Network on Emotion)HUMAINE aims to lay the foundations for European development of systems that can register, model and/or influence human emotional and emotion-related states and processes - 'emotion-oriented systems'. Such systems may be central to future interfaces, but their conceptual underpinnings are not sufficiently advanced to be sure of their real potential or the best way to develop them. One of the reasons is that relevant knowledge is dispersed across many disciplines. HUMAINE brings together leading experts from the key disciplines in a programme designed to achieve intellectual integration.See the full project page |