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How meditation affects attention: a computational modeling perspectiveold_uid | 13065 |
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title | How meditation affects attention: a computational modeling perspective |
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start_date | 2013/11/25 |
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schedule | 11h-12h30 |
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online | no |
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location_info | Bât 452 |
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details | invitée par l'équipe CAP |
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summary | While the number of publications about the effects of meditation and mindfulness is exploding, the theory underlying it is spread relatively thin. I propose that one tool to better investigate the mechanisms by which meditation affects cognition and emotion are computational models of cognition. For example, I previously showed, using a summed similarity model of recognition memory, that participating in a meditation retreat resulted in a reduction in perceptual noise during a visual recognition memory task. One step further is developing an actual model of the meditation practices themselves. I will discuss how this model works, and how it may be used to explain data I recently collected on the magnitude of the attentional blink during different meditative states. In addition, I will discuss how this new theoretical framework may be used to make predictions for the effects of meditation on not-yet-tested cognitive tasks. |
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responsibles | Béranger, Rossetti |
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