AROUSAL-DEPENDENT TUNING OF FRONTAL OSCILLATORY DYNAMICS DURING COGNITIVE CONTROL AND REINFORCEMENT LEARNING
CLLE, Université Toulouse Jean Jaurès - CNRS
Presentation
Date TBA
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Poster Board
PS07-10AM-657
Poster
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Here, we examine arousal-dependent modulation of oscillatory dynamics across three independent EEG–pupillometry datasets (total N ≈ 150) spanning instructed task implementation and reinforcement learning paradigms. Pupil diameter provided a continuous index of arousal, while burst- and frequency-resolved EEG analyses captured variability in oscillatory dynamics. Across tasks, we observed systematic covariation between arousal fluctuations and oscillatory properties, including shifts in dominant frequency, changes in burst duration, and state-dependent differences of timing and alternation of theta and beta oscillations. These modulations were associated with variability in reaction times, accuracy, and learning dynamics.
To assess mechanistic plausibility, we implemented a computational model in which arousal tunes oscillatory dynamics by reshaping the contribution of inhibitory processes operating at distinct temporal scales. The model reproduced key qualitative relationships between arousal and oscillatory properties observed in the data.
Together, these findings highlight a critical and currently under-specified mechanism in models of cognitive control, underscoring the need to understand how neuromodulators shape neural rhythms to support adaptive behavior.
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