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Waszak, F.

Publications and source records attributed to Waszak, F..

3 recordsLinked to original sources

Integration of "what" and "when" predictions during action-effect processing

Voluntary actions generate predictions about their sensory consequences, but it remains unknown whether predictions arising from different dimensions of intentional action are processed independently or integrated into a unified expectation. We addressed this question by combining action choice ("what") and action timing ("when") within a single action-effect learning paradigm. Participants learned independent associations between each action dimension and a distinct auditory feature and performed self-paced actions while electroencephalography was recorded. This design allowed action-choice and action-timing predictions to be fulfilled or violated independently or simultaneously. Event-related potentials were analysed using Bayesian linear mixed-effects models. The P2 component showed a significant interaction between action-choice and action-timing prediction violations: neither violation alone reliably modulated P2 amplitude, whereas simultaneous violations produced a marked reduction, consistent with a conjunctive prediction-error response. The later P3 component exhibited a graded pattern, with action-timing violations increasing amplitude and action-choice violations contributing an additional increment when both predictions were violated. These findings suggest that predictions derived from different dimensions of voluntary action are integrated during early sensory processing, whereas later stages evaluate prediction violations more cumulatively. The present results extend previous work on action-effect prediction by showing that predictions associated with action choice and action timing interact during the processing of their sensory consequences.

neuroscience↗

Wake consolidates event memory, sleep binds it with context

Sleep is thought to be superior to wakefulness in consolidating memory, due to a hippocampus-driven process enhancing the contextual integration of events. We compared recall of associative memory in different contexts, and found that memory is also consolidated during wakefulness, although in a qualitatively distinct way. Healthy participants performed a cued stimulus-response (S-R) learning task requiring speeded object classification. Learning was followed by 2 hours of sleep or wakefulness. Reaction times revealed stronger S-R memory after sleep than wakefulness with retrieval in the same context, and this benefit was linked to increased sleep spindle activity. In contrast, S-R memory was stronger after wakefulness than sleep when tested in a different context. This wake-dependent enhancement had a fast onset and was reversed by delayed sleep. We conclude that, unlike sleep strengthening the binding of an event with its context, wakefulness stabilizes event representations itself, i.e., not bound to a specific context.

neuroscience↗

Prior precision modulates the minimisation of prediction error in human auditory cortex

The predictive coding model of perception proposes that successful representation of the perceptual world depends upon cancelling out the discrepancy between prediction and sensory input (i.e., prediction error). Recent studies further suggest a distinction between prediction error associated with non-predicted stimuli of different prior precision (i.e., inverse variance). However, it is not fully understood how prediction error from different precision levels is minimised in the predictive process. The current research used magnetoencephalography (MEG) to examine whether prior precision modulates the cortical dynamics of the making of perceptual inferences. We presented participants with cycles of repeated tone quartets which consisted of three prime tones and one probe tone. Within each cycle, the three prime tones remained identical while the probe tones changed at some random point (e.g., from repetition of 123X to repetition of 123Y). Therefore, the repetition of probe tones can reveal the development of perceptual inferences in low and high precision contexts depending on its position within the cycle. We found that the two conditions resemble each other in terms of N1m modulation (as both were associated with N1m suppression) but differ in terms of N2m modulation. While repeated probe tones in low precision context did not exhibit any modulatory effect, repeated probe tones in high precision context elicited a suppression and rebound of the N2m source power. The differentiation suggested that the minimisation of prediction error in low and high precision contexts likely involves distinct mechanisms.

neuroscience↗