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Neural dynamics of implicit and explicit representations of time| old_uid | 16862 |
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| title | Neural dynamics of implicit and explicit representations of time |
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| start_date | 2018/11/26 |
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| schedule | 11h |
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| online | no |
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| summary | Temporal regularities are inherent in sensory environments, and human observers efficiently extract them to form temporal predictions when processing sensory input. Moreover, time provides the structure to human subjective experience, and can be apprehended devoid from sensory input. Thus, time is implicit and essential for cognition, but also explicit, i.e. consciously represented. Based on the notion that temporal aspects of human cognition may be implemented in neural oscillatory dynamics, I am applying time-resolved neuroimaging techniques (MEG/EEG) to study how representations of time used for implicit and explicit timing are reflected in oscillatory brain dynamics.
I will present a set of EEG studies from my postdoctoral work, in which we could show that auditory perception benefits from implicit temporal predictions, and provide evidence for a role of slow neural oscillations in the endogenous representation of temporal predictions, in absence of exogenously driven entrainment to rhythmic input. Building on these results, I will present preliminary data from a current M/EEG study, in which we jointly assess the neural dynamics of implicit and explicit timing using decoding techniques. |
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| responsibles | Blancho |
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