Abstract

In the present study we determined the performance interrelations of ten different tasks that involved the processing of temporal intervals in the subsecond range, using multidimensional analyses. Twenty human subjects executed the following explicit timing tasks: interval categorization and discrimination (perceptual tasks), and single and multiple interval tapping (production tasks). In addition, the subjects performed a continuous circle-drawing task that has been considered an implicit timing paradigm, since time is an emergent property of the produced spatial trajectory. All tasks could be also classified as single or multiple interval paradigms. Auditory or visual markers were used to define the intervals. Performance variability, a measure that reflects the temporal and non-temporal processes for each task, was used to construct a dissimilarity matrix that quantifies the distances between pairs of tasks. Hierarchical clustering and multidimensional scaling were carried out on the dissimilarity matrix, and the results showed a prominent segregation of explicit and implicit timing tasks, and a clear grouping between single and multiple interval paradigms. In contrast, other variables such as the marker modality were not as crucial to explain the performance between tasks. Thus, using this methodology we revealed a probable functional arrangement of neural systems engaged during different timing behaviors.

Highlights

  • The quantification of the passage of time is a ubiquitous and crucial phenomenon in a large repertoire of behaviors

  • These tasks can be grouped in explicit and implicit timing tasks

  • At the heart of the approach is the assumption that information contained in the performance variability reflects the proximities or the overlap between distributed neural networks engaged in the prominent behavioral features of each paradigm

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Summary

Introduction

The quantification of the passage of time is a ubiquitous and crucial phenomenon in a large repertoire of behaviors. In the hundred of milliseconds range, for example, interval timing is a complex process that is not linked exclusively to a specific sensory modality or motor behavior [1]. It is, involved in a broad spectrum of behaviors, ranging from object interception and collision avoidance to musical perception and performance, and it is exhibited by a wide variety of vertebrates including rats, pigeons, and humans [2,3]. Not all behaviors depend on an explicit timing system where the temporal variability increases as a function of the interval to be timed (i.e. scalar property of interval timing; [4,5,6]). Explicit and implicit timing processes can be clearly dissociated

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