Computational models of interval timing

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Addyman, Caspar; French, Robert M and Thomas, Elizabeth. 2016. Computational models of interval timing. Current Opinion in Behavioral Sciences, 8, pp. 140-146. ISSN 23521546 [Article]

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Official URL: http://doi.org/10.1016/j.cobeha.2016.01.004

Abstract or Description

In recent years great progress has been made in the computational modeling of interval timing. A wide range of models capturing different aspects of interval timing now exist. These models can be seen as constituting four, sometimes overlapping, general classes of models: pacemaker–accumulator models, multiple–oscillator models, memory–trace models, and drift–diffusion (or random-process) models. We suggest that computational models should be judged based on their performance on a number of criteria — namely, the scalar property, their ability to reproduce retrospective and prospective timing effects, and their sensitivity to attentional and neurochemical manipulations. Future challenges will involve building integrated models and sharing model code to allow direct comparisons against a battery of empirical data.

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Article

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https://doi.org/10.1016/j.cobeha.2016.01.004

Additional Information:

This work was supported in part by a grant from the French Agence Nationale de la Recherche (ANR-14-CE28-0017) to the second author, by a joint grant from the ANR (ANR-10-056 GETPIMA) to the second and third authors, and the UK ESRC (RES-062-23-0819) to the first author, within the framework of the Open Research Area (ORA) France – UK funding initiative.