Letters in Time and Retinotopic Space (LTRS)

Adelman, J. S. (in press). Letters in Time and Retinotopic Space. Psychological Review.

Executables and shared libraries (32-bit Windows and 64-bit Linux) with C++ source code

This code uses the known exact mathematical properties of the model and numerical integration to produce exact proportion known and average priming predictions. A true simulation would involve simpler code, but would require a massive number of runs to average out the trial-to-trial variability involved in a stochastic model.

James Adelman's home page

Data	Predictions	Match scores	R Code for fits/guessing README
Text tables: README Fitted data: Observer 1 Observer 2 Observer 3 Observer 4 Practice data: Observer 1 Observer 2 Observer 3 Observer 4	LTRS: Observer 1 Observer 2 Observer 3 Observer 4	<- use models	R code (uses shared library above) (R part implements guessing)
Text table README	Overlap model (original fits, 31 pars: new pars for each expt) Overlap model (refitted, 7 pars: same pars for each expt) LTRS	Spatial Coding, footnote Spatial Coding, optimized	R code (uses shared library above) (R part implements guessing)
Text table README Stimuli (SCM format)	Entry opening LTRS SCM	<- use models	R code
Text table README	SCM 55ms prime durations SCM actual prime durations LTRS	<- use models	R code (uses shared library above) The executable gives the same results (use included design file)