Neuroscience

eLife Assessment

This study presents valuable findings on the physiological and computational underpinnings of the accumulation of intermittent glimpses of sensory evidence. The evidence supporting the claims of the authors is solid, although a more exhaustive characterisation of how the different signals interact would have strengthened the study. The work will be of interest to cognitive and systems neuroscientists working on decision-making.

eLife Assessment

This study provides a valuable contribution to our understanding of the neural basis of perceptual decision-making by jointly modeling behavioral outcomes and EEG signals in a contrast comparison task. The methods and analyses are solid, systematically comparing standard models assuming continuous evidence accumulation with models that track evidence without temporal integration (extrema detection). The authors show that behavior and neural signals are equally consistent with both alternatives, highlighting limitations in current modeling approaches and questioning the generality of evidence accumulation mechanisms.