University of Cambridge > Talks.cam > Craik Club > Testing the Bayesian confidence hypothesis

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Testing the Bayesian confidence hypothesis

Download to your calendar using vCal

If you have a question about this talk, please contact John Mollon .

The host for this talk is Professor Daniel Wolpert

Asking subjects to rate their confidence is one of the oldest procedures in psychophysics. Remarkably, quantitative models of confidence ratings have been scarce. The Bayesian confidence hypothesis states that an observer’s confidence rating is monotonically related to the posterior probability of their choice. Here, we test this hypothesis in three contexts: a) perceptual categorization (under both sensory noise and ambiguity); b) visual working memory (delayed estimation); c) visual judgment in science (interpreting scatterplots).

This talk is part of the Craik Club series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Centre for Physical Biology talks Jean Thomas Lecture Theatre, Sanger Biochemistry Building Lord Ashcroft Building (LAB 207), Anglia Ruskin University, Cambridge

Other talks

Tissue-scale communication in cancer development Animating urbanism: the demotic multiplicities of seeing cities digitally Talk TBC How bubble acoustics can help in three apocalypses How Much Does Homology Really Know? Fairy Tales
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity