In search of the internal structure of the processes underlying interval timing in the sub-second and the second range: A confirmatory factor analysis approach

Rammsayer, Thomas; Troche, Stefan J.

doi:10.1016/j.actpsy.2013.05.004

Cited by 48 publications

(62 citation statements)

References 46 publications

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“…Moreover, their findings indicated that these effects are independent of the amount of attention allocated to stimulus size, the conclusion being that nontemporal stimulus attributes need not enter consciousness in order to affect perceived duration. Similar arguments can be made in the case of modality differences (e.g., Berry et al, 2014;Lustig & Meck, 2011;Penney, 2003), the parallel timing of multiple intervals (de Montalembert & Mamassian, 2012;Van Rijn & Taatgen, 2008), and sub-second and supra-second stimulus durations (Melgire et al, 2005;Rammsayer & Troche, 2014). Taken together, these effects argue for a common mechanism that might involve coding efficiency.…”

Section: Future Directionsmentioning

confidence: 66%

Subjective Duration as a Signature of Coding Efficiency: Emerging Links Among Stimulus Repetition, Predictive Coding, and Cortical GABA Levels

Matthews¹,

Terhune²,

Rijn³

et al. 2014

Timing Time Percept Rev

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Section: Future Directionsmentioning

confidence: 66%

Subjective Duration as a Signature of Coding Efficiency: Emerging Links Among Stimulus Repetition, Predictive Coding, and Cortical GABA Levels

Matthews¹,

Terhune²,

Rijn³

et al. 2014

Timing Time Percept Rev

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“…Furthermore, our study suggests that these patterns extend to interval timing on the second timescales (Grondin, 2012;Rammsayer and Troche, 2014). However, it must be pointed out that in this study, we only trained rats to discriminate between two intervals, compared with the multiple intervals tested in several other studies (Merchant et al, 2011(Merchant et al, , 2013a.…”

Section: Discussionmentioning

confidence: 78%

Dissociating Movement from Movement Timing in the Rat Primary Motor Cortex

2014

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Neural encoding of the passage of time to produce temporally precise movements remains an open question. Neurons in several brain regions across different experimental contexts encode estimates of temporal intervals by scaling their activity in proportion to the interval duration. In motor cortex the degree to which this scaled activity relies upon afferent feedback and is guided by motor output remains unclear. Using a neural reward paradigm to dissociate neural activity from motor output before and after complete spinal transection, we show that temporally scaled activity occurs in the rat hindlimb motor cortex in the absence of motor output and after transection. Context-dependent changes in the encoding are plastic, reversible, and re-established following injury. Therefore, in the absence of motor output and despite a loss of afferent feedback, thought necessary for timed movements, the rat motor cortex displays scaled activity during a broad range of temporally demanding tasks similar to that identified in other brain regions.

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“…There is evidence that the standard Weber fraction is not constant for intervals larger than approximately 1.2 s (Hinton and Rao, 2004; Bizo et al, 2006; Lewis and Miall, 2009; Grondin, 2012, 2014; Allman et al, 2014), and this could be a sign that different clocks or timing processes are used to time intervals of different durations (Bangert et al, 2011; Rammsayer and Troche, 2014). We approach this issue by calculating the traditional Weber fraction for intervals of different duration, and also by fitting a model of the generalized Weber fraction (Equation 1).…”

Section: Introductionmentioning

confidence: 99%

Monkeys Share the Human Ability to Internally Maintain a Temporal Rhythm

et al. 2016

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Timing is a fundamental variable for behavior. However, the mechanisms allowing human and non-human primates to synchronize their actions with periodic events are not yet completely understood. Here we characterize the ability of rhesus monkeys and humans to perceive and maintain rhythms of different paces in the absence of sensory cues or motor actions. In our rhythm task subjects had to observe and then internally follow a visual stimulus that periodically changed its location along a circular perimeter. Crucially, they had to maintain this visuospatial tempo in the absence of movements. Our results show that the probability of remaining in synchrony with the rhythm decreased, and the variability in the timing estimates increased, as a function of elapsed time, and these trends were well described by the generalized law of Weber. Additionally, the pattern of errors shows that human subjects tended to lag behind fast rhythms and to get ahead of slow ones, suggesting that a mean tempo might be incorporated as prior information. Overall, our results demonstrate that rhythm perception and maintenance are cognitive abilities that we share with rhesus monkeys, and these abilities do not depend on overt motor commands.

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In search of the internal structure of the processes underlying interval timing in the sub-second and the second range: A confirmatory factor analysis approach

Cited by 48 publications

References 46 publications

Subjective Duration as a Signature of Coding Efficiency: Emerging Links Among Stimulus Repetition, Predictive Coding, and Cortical GABA Levels

Subjective Duration as a Signature of Coding Efficiency: Emerging Links Among Stimulus Repetition, Predictive Coding, and Cortical GABA Levels

Dissociating Movement from Movement Timing in the Rat Primary Motor Cortex

Monkeys Share the Human Ability to Internally Maintain a Temporal Rhythm

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