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(A ) Post-categorization bias: after categorizing the accumulator value into 'Go Left' or 'Go Right' decisions, a fraction, κ L, of Left decisions are reversed into Right decisions, and a fraction, κ R, are reversed from Right to Left.
(B ) Post-categorization bias model.
Unilaterally perturbing the FOF might then bias this post-categorization representation.
The magenta line is the psychometric curve generated by the post-categorization bias model.
Unilateral FOF inactivation is best fit as a post-categorization bias.
Nonetheless, allowing all 8 parameters to vary simultaneously, the post-categorization parameter still had the biggest change, small changes in other parameters that gave a higher likelihood than the 1-parameter post-categorization model.
The post-categorization bias model is better than the next best model (biased input gain) by 50 log-units.
Thin light red and green lines are the reverse correlation traces generated by the post-categorization bias model.
DOI: http://dx.doi.org/10.7554/eLife.05457.017 We verified that the post-categorization model was best by using a leave-one-session-out cross validation.
This surface clearly demonstrated that fitting the data requires a large shift away from the balanced control value in the post-categorization bias, but not in input gain.
(B ) The 2-dimensional normalized likelihood surface for the two best single-parameter models: post-categorization bias and input gain bias.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com