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Poster B in Poster Session B: Tuesday, August 4, 2:00 – 3:45 pm, Kimmel Center, Shorin & Rosenthal Rooms

Adaptive estimation of individual sensory representations

Josue Casco-Rodriguez¹, Fangfang Hong², David H. Brainard², Jenelle Feather³, David Lipshutz⁴; ¹Rice University, ²University of Pennsylvania, ³Carnegie Mellon University, ⁴Baylor College of Medicine

Presenter: Josue Casco-Rodriguez

Sensory representations of the same physical stimuli vary across individuals. We propose a Bayesian adaptive procedure to estimate individual sensory representations using targeted perceptual discrimination judgments. Key to our approach is identifying stimulus distortions for which observers differ most in Fisher-information-predicted sensitivity. As a proof of concept, we simulate observers with cone fundamentals drawn from a population model and demonstrate that our approach can recover them with a feasible number of forced-choice trials. With real observers, this approach could enable efficient, personalized characterization of sensory representations from a modest number of trials.

Topic Area: Methods, Tools, Theory & Neural Coding