Continuous Estimation of Mean and Uncertainty

Ian Saunders, S. Vijayakumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Sensory uncertainty affects our perception and motor actions, but the mechanisms by which we estimate uncertainty are largely unexplored. We introduce a novel experimental paradigm that requires subjects to continuously report their (evolving) sufficient statistics of visual cues over time. We show that subjects rapidly accumulate evidence over the course of a trial to form an accurate estimate of the mean that equally weights all seen cues. Moreover, subjects have knowledge of their continuous objective uncertainty, although it is estimated with a conservative safety margin.
Original languageEnglish
Title of host publication21st Annual Conference of the Japanese Neural Network Society
Number of pages2
Publication statusPublished - 2011


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