Overlearned sequence and perceived time: possible involvement of attention.

Overlearned sequences, characterized by specific ordinal ranks for each element, elicit strong predictions when presented in their natural order. The present study aimed to test the role of predictions on the perceived duration in a stimulus series that followed an overlearned sequence. Participants judged the duration of the target digit in a sequence that followed a regular or random order, while the overall context in which these sequences were presented was varied in two blocks. The results suggest that, with the possible involvement of attention, the target element that followed the regular order was perceived to be relatively accurate. The violation of an overlearned sequence leads to an underestimation of duration, particularly when the participants are aware of the violation. Further, the perceived duration of the target element in an overlearned sequence does not modulate as a function of the global context. These findings contribute to our understanding of the differential effect of various predictive processes on perceived time.

Pupillometry tracks errors in interval timing.

Recent primate studies suggest a potential link between pupil size and subjectively elapsed duration. Here, we sought to investigate the relationship between pupil size and perceived duration in human participants performing two temporal bisection tasks in the subsecond and suprasecond interval ranges. In the subsecond task, pupil diameter was greater during stimulus processing when shorter intervals were overestimated but also during and after stimulus offset when longer intervals were underestimated. By contrast, in the suprasecond task, larger pupil diameter was observed only in the late stimulus offset phase prior to response prompts when longer intervals were underestimated. This pattern of results suggests that pupil diameter relates to an error monitoring mechanism in interval timing. These results are at odds with a direct relationship between pupil size and the perception of duration but suggest that pupillometric variation might play a key role in signifying errors related to temporal judgments. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Interval timing in a hierarchical violation-of-expectation task: Dissociable effects of local and global predictions.

Predictability associated with an event influences its perceived time. The two forms of predictions that are often discussed and have a dissociable influence on perceived time are repetition and expectation. However, predictions based on expectation can be seen at multiple levels, potentially leading to an inconsistency in the pattern in which expectation influences perceived time. Therefore, the present study aimed to investigate how different levels of predictions impact perceived time. In two separate experiments utilizing visual and auditory stimuli, we used a hierarchical violation-of-expectation paradigm that can dissociate two types of predictions based on local and global rules. Results from analysis of variance computed with local and global predictions revealed a pattern of local and global predictions having a distinct influence on perceived time. More specifically, while the local predictions that consider the immediate stimulus exposure reduced the perceived time, the global predictions that consider the overall regularities of a given context increased the perceived time. These results integrate well with the recent theoretical models rooted in a predictive coding framework that emphasizes the opposing effects of the first order and second order predictions on perceived time.

Pupil tracks statistical regularities: behavioral and neural implications.

Pupillary light reflex adjusts the amount of light reaching the retina. Recent work suggests that the brainstem pupillary light reflex pathway is controlled by the environment's internal models derived from higher-order temporal statistics. This finding has implications at the behavioral and neural levels. Pupillary changes in response to statistical regularities could be a metric constituting the precision with which the internal models are represented. These pupillary changes may aid in information processing through attentional mechanisms. One possible region that mediates descending cognitive inputs to pupil cycling is locus coeruleus. Here we propose a unified framework of locus coeruleus' role in modulating pupillary change, which successfully explains current and previous findings. The locus coeruleus could have multiple subsystems selectively (but not exclusively) driven by behavioral relevance and statistical learning to regulate pupillary change.