Colleges
Ole Jensen
Chair of Translational Cognitive Neuroscience
The Neuronal Oscillations Group
The Neuronal Oscillations group aims to explore how oscillatory brain activity shapes the functional architecture of the brain during cognitive processes. Specifically, we focus on the mechanistic roles that brain oscillations play in supporting key cognitive functions, such as attention and memory. We apply this insight to investigate the neuronal substrate of neurological and psychiatric disorders. By adopting a network-based approach, we utilize various techniques including MEG, intracranial recordings, computational modelling, and EEG combined with fMRI and TMS.
Currently, we are advancing OPM/MEG technology, with a special emphasis on its application in pediatric cognitive and clinical research. Our core goal is to investigate the development of attention mechanisms in children and understand how these mechanisms contribute to reading skills.
Key publications
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An oscillatory pipelining mechanism supporting previewing during visual exploration and reading.
Journal article
Jensen O. et al, (2021), Trends Cogn Sci, 25, 1033 - 1044
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Distractor inhibition by alpha oscillations is controlled by an indirect mechanism governed by goal-relevant information.
Journal article
Jensen O., (2024), Commun Psychol, 2
Recent publications
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An implemented predictive coding model of lexico-semantic processing explains the dynamics of univariate and multivariate activity within the left ventromedial temporal lobe during reading comprehension.
Journal article
Wang L. et al, (2024), Neuroimage, 308
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The role of alpha oscillations in resisting distraction.
Journal article
Bonnefond M. and Jensen O., (2024), Trends Cogn Sci
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Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration.
Journal article
Fakche C. et al, (2024), J Neurosci, 44
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Differential neural mechanisms underlie cortical gating of visual spatial attention mediated by alpha-band oscillations.
Journal article
Yang X. et al, (2024), Proc Natl Acad Sci U S A, 121
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Visual Processing by Hierarchical and Dynamic Multiplexing.
Journal article
Bonnefond M. et al, (2024), eNeuro, 11