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.

eLife Assessment

This valuable study examined the geometry of visual object representations across hierarchically organized stages of the mouse visual cortex. The use of large-scale training and recording techniques provides solid evidence for changes along the hierarchy that may contribute to invariant object recognition. These findings, particularly if they could be supported by further analyses and clarifications to rule out alternative explanations, including influences of low-level features on behavior and neural activity, help establish the potential usefulness of the mouse to understand the neural basis of object recognition.

eLife Assessment

This paper presents a collection of analyses relating structure and function in the whole-brain Drosophila EM connectome and whole-brain calcium imaging data. The linkage of detailed anatomical structure with population activity is of broad interest in circuit neuroscience in light of increasingly detailed brain maps, but the methods used made the evidence inadequate due to a lack of consideration of neurotransmitter identity and technical issues with the network analysis. The conclusions are useful for specific network observations, but a more thorough analysis of the anatomical and functional data is needed to support the overall claims.