Temporal Bisection in Children

Droit‐Volet, Sylvie; Wearden, J. H.

doi:10.1006/jecp.2001.2631

Cited by 150 publications

(124 citation statements)

References 25 publications

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“…However, the modeling of individual bisection data demonstrates that changes in decisional processes only affect the proportion of responses in the middle of the bisection curve, i.e. in the case of ''ambiguous'' durations when the participants do not know whether the durations are more similar to the short or the long standard (Droit-Volet & Wearden, 2001;Wearden & Jones, 2013). In particular, this bias in the middle of the psychophysical functions was not observed in our false information groups.…”

Section: Discussioncontrasting

confidence: 68%

The conscious awareness of time distortions regulates the effect of emotion on the perception of time

Droit‐Volet

Lamotte

Izaute

2015

Consciousness and Cognition

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Section: Discussioncontrasting

confidence: 68%

The conscious awareness of time distortions regulates the effect of emotion on the perception of time

Droit‐Volet

Lamotte

Izaute

2015

Consciousness and Cognition

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“…3 It has been proposed that a random-response component improves the fit of timing models to performance in FI (Lejeune & Wearden, 1991), temporal bisection, and temporal generalization procedures (Droit-Volet & Izaute, 2005;Droit-Volet & Wearden, 2001). The reported model-space investigation of latencies (see Table 5) also supports a two-state model of timing.…”

Section: Latenciesmentioning

confidence: 99%

Interval timing under a behavioral microscope: Dissociating motivational and timing processes in fixed-interval performance

Daniels

Sanabria

2016

Learn Behav

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The distribution of latencies and interresponse times (IRTs) of rats was compared between two fixedinterval (FI) schedules of food reinforcement (FI 30 s and FI 90 s), and between two levels of food deprivation. Computational modeling revealed that latencies and IRTs were well described by mixture probability distributions embodying two-state Markov chains. Analysis of these models revealed that only a subset of latencies is sensitive to the periodicity of reinforcement, and prefeeding only reduces the size of this subset. The distribution of IRTs suggests that behavior in FI schedules is organized in bouts that lengthen and ramp up in frequency with proximity to reinforcement. Prefeeding slowed down the lengthening of bouts and increased the time between bouts. When concatenated, latency and IRT models adequately reproduced sigmoidal FI response functions. These findings suggest that behavior in FI schedules fluctuates in and out of schedule control; an account of such fluctuation suggests that timing and motivation are dissociable components of FI performance. These mixturedistribution models also provide novel insights on the motivational, associative, and timing processes expressed in FI performance. These processes may be obscured, however, when performance in timing tasks is analyzed in terms of mean response rates.

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“…However, and irrespective of the duration values, they also produce more random responses, thus causing a flattening of the bisection function by increasing the proportion of long and short responses for the short and the long anchor durations, respectively (Droit-Volet & Wearden, 2001. Furthermore, consistently with the scalar variance property, in children, as in adults, the difference limen increases linearly with the range of absolute durations.…”

mentioning

confidence: 92%

Development of time sensitivity: Duration ratios in time bisection

Droit‐Volet

Zélanti

2013

Quarterly Journal of Experimental Psychology

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This study investigated the development of children's abilities to discriminate durations as a function of their ratio and examined whether the ability to discriminate durations that differed by a very difficult ratio is related to the development of attention capacities. Children aged 5 and 8 years, as well as adults, performed a series of temporal bisection tasks with a ratio between the short and the long anchor duration that was changed to control the difficulty of the task (5:6, 2:3, and 1:2) in two duration ranges (<1 s and >3 s). In addition, they completed neuropsychological tests in order to assess their short-term memory, working memory, and visual attention abilities. The results showed that, at ratios of 2:3 and 1:2, most participants were able to discriminate the anchor durations in bisection. However, their sensitivity to time improved, whatever the duration range, both as the distance between the anchor durations increased and with increasing age. For the smallest duration ratio (5:6), few of the children were able to discriminate the anchor durations in the bisection task in comparison to adults. Hierarchical regression analyses performed on the neuropsychological tests revealed that, for the 2:3 ratio between anchor durations, the participants' visual attention scores explained a large part of the variance in time sensitivity. The children's lower temporal sensitivity was probably due to their limited visual attention abilities, thus explaining the difficulty they experienced in discriminating very close durations (5:6).

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Temporal Bisection in Children

Cited by 150 publications

References 25 publications

The conscious awareness of time distortions regulates the effect of emotion on the perception of time

The conscious awareness of time distortions regulates the effect of emotion on the perception of time

Interval timing under a behavioral microscope: Dissociating motivational and timing processes in fixed-interval performance

Development of time sensitivity: Duration ratios in time bisection

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