Gaussian Activation Model of Interval Timing - A matlab implementation.
The GAMIT model it generates a set of retrospective or prospective time estimates for a given vector of target intervals with or without cognitive load. Can optionally pass set of model parameters and lifetime reference curves.
Example function calls are documented in the attached word document.
Theory: Caspar Addyman, Robert M. French, Denis Mareschal, Elizabeth Thomas
Model: Caspar Addyman, Robert M. French
Code: Caspar Addyman
Contact: c.addyman@bbk.ac.uk
French, R. M., Addyman, C., Mareschal, D., & Thomas, E. (2014). GAMIT – A Fading-Gaussian Activation Model of Interval-Timing: Unifying Prospective. Timing and Time Perception Reviews, Vol 1, p.1–17.
Addyman, C., & Mareschal, D. (2014). GAMIT-Net: Retrospective and prospective interval timing in a single neural network. In P. Bello, M. Guarini, M. McShane, & B. Scassellati, (pp. 98–103). Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX Cognitive Science Society.
Code DOI
This work was supported in part by a joint grant from the French ANR (ANR-10-056 GETPIMA), and the UK ESRC (RES-062-23-0819) within the France-UK ORA framework.