Probability Learning When Stimuli Vary on Multiple Dimensions

Abstract

With both location and shape of stimuli varied simultaneously on independent binary probability schedules, the prediction distributions of subjects who had a 70%-30% schedule on each dimension eventually 'matched' the theoretical probabilities, but those of subjects who had a 50% -50% on one dimension underapproximated the theoretical probabilility for the 70% alternative of the other dimension. Even with the color of the stimuli also varied, subjects' prediction distributions showed they were discriminating all three schedules.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 2 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.