Projects per year
Abstract
There is a growing understanding that both top-down and bottom-up signals underlie perception. But it is not known how these signals integrate with each other and how this depends on the perceived stimuli’s predictability. ‘Predictive coding’ theories describe this integration in terms of how well top-down predictions fit with bottom-up sensory input. Identifying neural markers for such signal integration is therefore essential for the study of perception and predictive coding theories. To achieve this, we combined EEG methods that preferentially tag different levels in the visual hierarchy. Importantly, we examined intermodulation components as a measure of integration between these signals. Our results link the different signals to core aspects of predictive coding, and suggest that top-down predictions indeed integrate with bottom-up signals in a manner that is modulated by the predictability of the sensory input, providing evidence for predictive coding and opening new avenues to studying such interactions in perception.
Original language | English |
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Article number | e22749 |
Number of pages | 17 |
Journal | eLife |
Volume | 6 |
DOIs | |
Publication status | Published - 28 Feb 2017 |
Keywords
- hierarchical frequency tagging
- human
- intermodulation
- predictive coding
- semantic wavelet-induced frequency tagging
Projects
- 4 Finished
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Consciousness in the predictive mind
Hohwy, J., Blankenburg, F., Kouider, S. & Seth, A.
Australian Research Council (ARC), Monash University, University of Sussex, Ecole Normale Superieure, Freie Universität Berlin (Free University of Berlin)
30/09/16 → 30/04/20
Project: Research
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The neuronal basis of visual consciousness: how brain rhythms control the doors of perception
Tsuchiya, N., Maller, J., Foster, B. & Takaura, K.
Australian Research Council (ARC), Monash University
3/01/13 → 31/12/15
Project: Research
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The neuronal bases of consciousness and attention
Australian Research Council (ARC)
1/10/12 → 30/07/18
Project: Research