Neuroscience

eLife Assessment

This manuscript proposes a valuable idea on how cortical networks may learn a helpful representation of sensory stimuli. The model implementing this idea is tested in multiple experimental paradigms. However, the evidence remains incomplete as to whether the method supports both invariance and equivariance and whether it can estimate the dynamics of the moving object.

eLife Assessment

This valuable study presents a tool that uses brain anatomy to predict the layout and size of early visual maps, and it is strengthened by the use of a large and diverse collection of scans to examine differences across people and groups. The evidence is solid for the general usefulness of the approach, but incomplete for some of the broader claims about prediction accuracy and use across data sets, particularly for estimates of map size and for showing that the model improves on repeated functional measurements. This paper is likely to be of significant interest to visual perception researchers, especially those who use fMRI.

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.