New preprint! Have you ever wanted to measure psychometric functions in high-dimensional stimulus spaces, but realised that this is infeasible? We present and validate a technique to adaptively estimate psychometric functions for stimulus spaces up to 50 dimensions. www.biorxiv.org/content/10.6...
Adaptive experiments in high-dimensional feature spaces: A particle filtering approach
Behavioral experiments are often infeasible when stimulus spaces have many dimensions or when testing time is limited. One way to address this challenge is adaptive stimulus selection, where informati...
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