GAMIT – A Fading-Gaussian Activation Model of Interval-Timing: Unifying Prospective and Retrospective Time Estimation

French, Robert M.; Addyman, Caspar; Mareschal, Denis; Thomas, Elizabeth

doi:10.1163/24054496-00101002

Cited by 19 publications

(23 citation statements)

References 95 publications

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“…The SBFm model links working memory processes and interval timing by assuming that the firing patterns of the oscillating neurons could encode for content in the working memory system, whereas the phase of these oscillations could encode for temporal properties [139,140]. Future work will focus on the implementation of this SBFm model, and at the same time testing the predictions of this model using, for example, network synchrony analyses [139,155] and model-based fMRI analyses [156][157][158] in an attempt to unify prospective and retrospective time estimation [159][160][161][162][163].…”

Section: Discussionmentioning

confidence: 99%

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Rijn

Meck

2014

Advances in Experimental Medicine and Biology

109

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Scalar Timing Theory (an information-processing version of Scalar Expectancy Theory) and its evolution into the neurobiologically plausible Striatal Beat-Frequency (SBF) theory of interval timing are reviewed. These pacemaker/accumulator or oscillation/coincidence detection models are then integrated with the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture as dedicated timing modules that are able to make use of the memory and decision-making mechanisms contained in ACT-R. The different predictions made by the incorporation of these timing modules into ACT-R are discussed as well as the potential limitations. Novel implementations of the original SBF model that allow it to be incorporated into ACT-R in a more fundamental fashion than the earlier simulations of Scalar Timing Theory are also considered in conjunction with the proposed properties and neural correlates of the "internal clock".

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Section: Discussionmentioning

confidence: 99%

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Rijn

Meck

2014

Advances in Experimental Medicine and Biology

109

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“…The model is simply given the simulated RT to store, rather than modelling an internal clock or some other time perception mechanism. This abstraction of the time perception process is for simplicity only, and future versions of the model might aim to model time perception directly, for instance, by borrowing from one of the many time perception models (e.g., Church, 1984;French, Addyman, Mareschal, & Thomas, 2014;Gibbon, Church, & Meck, 1984;Miall, 1989).…”

Section: (Figure 1)mentioning

confidence: 99%

The Parallel Episodic Processing (PEP) model 2.0: A single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs

Schmidt

Houwer

Rothermund

2016

Cognitive Psychology

101

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The current paper presents an extension of the Parallel Episodic Processing model.The model is developed for simulating behaviour in performance (i.e., speeded response time) tasks and learns to anticipate both how and when to respond based on retrieval of memories of previous trials. With one fixed parameter set, the model is shown to successfully simulate a wide range of different findings. These include: practice curves in the Stroop paradigm, contingency learning effects, learning acquisition curves, stimulus-response binding effects, mixing costs, and various findings from the attentional control domain. The results demonstrate several important points. First, the same retrieval mechanism parsimoniously explains stimulus-response binding, contingency learning, and practice effects. Second, as performance improves with practice, any effects will shrink with it. Third, a model of simple learning processes is sufficient to explain phenomena that are typically (but perhaps incorrectly) interpreted in terms of higher-order control processes. More generally, we argue that computational models with a fixed parameter set and wider breadth should be preferred over those that are restricted to a narrow set of phenomena.

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“…These interval-timing-based responses may appear to extend for durations beyond the breadth of the psychological present. However, most interval timing models (e.g., pacemaker or cortical oscillations models) require the ‘onset’ (or re-setting) of timing mechanisms during the initiation of the to-be-timed stimulus [13, 14]. This (re)-setting is cued or triggered by the target stimulus being (or having been) present in the immediate “now”.…”

Section: The Psychological Present: Working Memory and Attentionmentioning

confidence: 99%

Possible evolutionary and developmental mechanisms of mental time travel (and implications for autism)

Allman

Mareschal

2016

Current Opinion in Behavioral Sciences

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Through an interdisciplinary perspective integrating behavior, neurobiology and evolution, we present a cognitive framework underpinning the development of ‘time in mind’ in animals (phylogeny) and humans (ontogeny). We distinguish between conscious processing of events immediately available (in the present) to those that are hypothetical (in the past or future). The former is present in animals and neonates, whereas the latter emerges later in phylogeny and ontogeny (around 4 years of age in humans) and is related to the development of episodic memory (expanded working memory, complex actions, social-cognitive abilities). We suggest that forms of temporal representation that rely upon current bodily sensation across time, space, and action (through embodied interoceptive and motor systems) may be critical causal factors for the evolution of mental time travel.

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GAMIT – A Fading-Gaussian Activation Model of Interval-Timing: Unifying Prospective and Retrospective Time Estimation

Cited by 19 publications

References 95 publications

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

The Parallel Episodic Processing (PEP) model 2.0: A single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs

Possible evolutionary and developmental mechanisms of mental time travel (and implications for autism)

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