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Memory Transfer of Random Time Patterns Across Modalities

Kang HiJee, Auksztulewicz Ryszard, Chan Chi Hong, Cappotto Drew, View ORCID ProfileRajendran Vani Gurusamy, View ORCID ProfileSchnupp Jan Wilbert Hendrik
doi: https://doi.org/10.1101/2020.11.24.395368
Kang HiJee
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
2Sensory and Motor Systems Research Group, Korea Brain Research Institute (KBRI), Daegu, South Korea
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Auksztulewicz Ryszard
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
3Neuroscience Dept, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
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Chan Chi Hong
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
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Cappotto Drew
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
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Rajendran Vani Gurusamy
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
4Laboratoire des systèmes perceptifs, Département d’études cognitives, École normale supérieure, PSL University, CNRS, 75005 Paris, France
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  • ORCID record for Rajendran Vani Gurusamy
Schnupp Jan Wilbert Hendrik
1Dept. of Neuroscience, City University of Hong Kong, Hong Kong S.A.R
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  • ORCID record for Schnupp Jan Wilbert Hendrik
  • For correspondence: wschnupp@cityu.edu.hk
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Abstract

Perception is sensitive to statistical regularities in the environment, including temporal characteristics of sensory inputs. Interestingly, temporal patterns implicitly learned within one modality can also be recognised in another modality. However, it is unclear how cross-modal learning transfer affects neural responses to sensory stimuli. Here, we recorded neural activity of human volunteers (N=24, 12 females, 12 males) using electroencephalography (EEG), while participants were exposed to brief sequences of randomly-timed auditory or visual pulses. Some trials consisted of a repetition of the temporal pattern within the sequence, and subjects were tasked with detecting these trials. Unknown to the participants, some trials reappeared throughout the experiment, enabling implicit learning. Replicating previous behavioural findings, we showed that participants benefit from temporal information learned in audition, and that they can apply this information to stimuli presented in vision. Such memory transfer was not observed from vision to audition. However, using an analysis of EEG response learning curves, we showed that learning temporal structures both within and across modalities modulates single-trial EEG response amplitudes in both conditions (audition to vision and vision to audition). Interestingly, the neural correlates of temporal learning within modalities relied on modality-specific brain regions, while learning transfer affected activity in frontal regions, suggesting distinct mechanisms. The cross-modal effect could be linked to frontal beta-band activity. The neural effects of learning transfer were similar both when temporal information learned in audition was transferred to visual stimuli and vice versa. Thus, both modality-specific mechanisms for learning of temporal information, and general mechanisms which mediate learning transfer across modalities, have distinct physiological signatures that are observable in the EEG.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 21, 2021.
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Memory Transfer of Random Time Patterns Across Modalities
Kang HiJee, Auksztulewicz Ryszard, Chan Chi Hong, Cappotto Drew, Rajendran Vani Gurusamy, Schnupp Jan Wilbert Hendrik
bioRxiv 2020.11.24.395368; doi: https://doi.org/10.1101/2020.11.24.395368
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Memory Transfer of Random Time Patterns Across Modalities
Kang HiJee, Auksztulewicz Ryszard, Chan Chi Hong, Cappotto Drew, Rajendran Vani Gurusamy, Schnupp Jan Wilbert Hendrik
bioRxiv 2020.11.24.395368; doi: https://doi.org/10.1101/2020.11.24.395368

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