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Decoding the representation of time from brain states using multivariate pattern analyses| old_uid | 13095 |
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| title | Decoding the representation of time from brain states using multivariate pattern analyses |
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| start_date | 2017/01/23 |
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| schedule | 11h |
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| online | no |
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| summary | The ability to process time on the scale of milliseconds and seconds is essential for behaviour. A growing number of studies have started to focus on brain dynamics as a mechanism for temporal encoding. Although there is growing evidence in favour of this view from computational and in vitro studies, there is still a lack of results from experiments in humans. In this talk, I will discuss recent EEG studies in which we attempt to use multivariate pattern analysis to study temporal processing. Using different temporal tasks, we show that these techniques can bring important advances in our understanding of temporal processing and help to elucidate how temporal information is encoded. |
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| responsibles | Blancho |
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