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Girondini, M.

Publications and source records attributed to Girondini, M..

2 recordsLinked to original sources

Neural Changes in Processing Visuo-Tactile Looming Stimuli Following Hand-to-Foot Sensorimotor Remapping

Interactions with the environment follow stable spatial regularities that allow the brain to predict where sensory events are likely to occur. Although these expectations can adapt when actions repeatedly produce altered sensory consequences, whether spatial regularities learned through action influence subsequent sensory processing in the absence of action remains unclear. Participants underwent virtual reality (VR) sensorimotor remapping training in which right-hand interactions produced tactile feedback on either the ipsilateral (n=23) or contralateral foot (n=23). Feedback was either synchronous with hand object contact, establishing a reliable action sensation relationship, or asynchronous, providing comparable tactile exposure without a consistent temporal contingency. Before and after training, EEG was recorded during a visuo-tactile looming task in which participants passively observed objects approaching the hand while tactile stimulation was delivered to the hand (expected) or occasionally to the foot (unexpected). We examined the mismatch negativity (MMN) and P300 to determine whether the learned hand-to-foot regularity influenced subsequent processing of these events. P300 responses to hand stimulation increased selectively following synchronous training, indicating that learning a reliable hand-to-foot relationship altered subsequent processing of hand-related events outside the action context. In contrast, neither MMN nor P300 responses to foot stimulation differed between synchronous and asynchronous training, providing no evidence for direct transfer of the newly learned spatial mapping. Relative to baseline, foot-related responses instead showed contingency independent changes consistent with more general exposure related adaptation. Together, these findings show that spatial regularities learned through action can influence subsequent sensory processing beyond the context in which they are acquired, while highlighting constraints on their generalization across active and passive interactions.

neuroscience↗

Inferring When to Act from Temporal Regularities

Adaptive behaviour often requires deciding when to act in the absence of an explicit sensory cue. While temporal expectations are known to optimize behaviour when anticipated events trigger responses, it remains unclear how learned temporal regularities are transformed into internally generated decisions. Here, we developed the Temporal Inference Task, a novel virtual reality paradigm designed to isolate this transformation. Participants repeatedly observed an identical visual sequence in which a virtual object approached their hand. On most trials, a brief tactile No-Go signal instructed them to withhold their response, whereas on the remaining trials its omission required them to respond. Because Go trials were never accompanied by an explicit cue, participants had to infer when the expected No-Go signal could no longer occur before initiating a response. Across blocks, the timing of the No-Go signal was systematically varied, allowing participants to learn distinct temporal regularities while Go trials remained physically identical. Participants systematically shifted their response timing according to the learned temporal regularities. This behavioural adaptation was accompanied by corresponding shifts in parietal alpha- and beta-band desynchronization, with steeper pre-response desynchronization consistently preceding faster responses. Together, these findings identify a candidate neural mechanism through which learned temporal regularities are transformed into internally generated decisions about when to act.

neuroscience↗