Matlab implementation of Addyman, French and Mareschal (2011) connectionist learning model of interval timing.
Any questions contact Caspar Addyman c.addyman@bbk.ac.uk
Learning to perceive time: A connectionist, memory-decay model of the development of interval timing in infants.
Caspar Addyman, Robert M. French LEAD-CNRS UMR 5022
Denis Mareschal, CBCD, Birkbeck, University of London
Elizabeth Thomas INSERM, Université de Bourgogne, France
We present the first developmental model of interval timing. It is a memory-based connectionist model of how infants learn to perceive time. It has two novel features that are not found in other models. First, it uses the uncertainty of a memory for an event as index of how long ago that event happened. Secondly, embodiment – specifically, infant motor activity – is crucial to the calibration of time-perception across sensory modalities. We describe the model and present three simulations which show (1) how it uses sensory memory uncertainty and bodily representaions to index time, (2) that the scalar property of interval timing (Gibbon, 1977) emerges naturally from this network and (3) that motor activity can synchronize independent timing mechanimss across different sensory modalities.
Addyman, C., French, R.M., Mareschal, D. & Thomas, E. (2011) Learning to perceive time: A connectionist, memory-decay model of the development of interval timing in infants. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. xxx). Austin, TX: Cognitive Science Society.
Full paper here http://www.cbcd.bbk.ac.uk/people/scientificstaff/caspar/time/cogsci2011.pdf