Decision bounds are adaptive to dynamic task conditions
Ishan Kalburge, Joshua Gold, Kresimir Josic, Long Ding, Zachary Kilpatrick, Alice Dallstream, Jafar Bhatti, Nicholas Barendregt · COSYNE 2025
Classical models of decision-making, including drift-diffusion and other accumulate-to-bound models, assume that the decision rule for committing to a decision based on accumulated evidence is determined prior to observing the evidence. These predefined rules are typically modeled as thresholds, or bounds, on the accumulated evidence (“decision variable”) that are either fixed [1-2] or collapsing over time [3], in both cases serving to balance decision speed (emphasized when bounds are low and reached quickly) and accuracy (emphasized when bounds are high and allow for more evidence to be accu
ePoster · Neuroscience