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Representation of visual features, objects, actions and scenes in the human brain| old_uid | 10280 |
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| title | Representation of visual features, objects, actions and scenes in the human brain |
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| start_date | 2011/10/17 |
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| schedule | 16h |
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| online | no |
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| location_info | Lecture Theatre |
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| details | Host: Dr Joern Diedrichsen |
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| summary | The human visual system represents the visual world at many levels: features, objects and actions, and scenes. How are these attributes represented across visual cortex? Previous studies have investigated the representation of only a small number of potential object and scene categories. My laboratory has developed a new approach for collecting and modeling fMRI data that reveals the functional organization of the human visual system with unprecedented detail. Our approach is based on estimation of quantitative voxel-based encoding models from fMRI responses evoked by natural movies. Projection of these encoding models onto flattened maps of human cortex reveals a highly detailed and systematic representation of structural and semantic information distributed across wide swaths of visual and non-visual cortex. These patterns are consistent with the coarse parcellations provided by previous techniques, but provide much more detailed information and extend well beyond areas identified in earlier studies. Furthermore, examination of voxel-based encoding models reveals what specific information is represented within each visual area, and suggests how the visual system exploits simple spatial and temporal features in order to construct semantic representations of objects and scenes. Finally, one additional benefit of our approach is that estimated encoding models can be easily converted into decoding models. These decoding models recover both the structural and semantic information in natural movies, even from slow hemodynamic signals. |
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| responsibles | Lawrence |
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