Neuroscience

eLife Assessment

This is a useful study, bolstering our understanding of spatial reference frames of visual perception. The high-resolution data and sophisticated analyses confirm and enhance earlier findings that visual representations operate in a predominantly retinotopic reference frame throughout the visual hierarchy in the human cortex. However, these analyses are currently incomplete, leaving open the possibility that eye-position gain and or spatiotopic representations may also be present.

eLife Assessment

This valuable study presents a framework for a shareable data analysis pipeline aimed at improving reproducibility in neuroscience. The evidence for robustness and inter-laboratory operability is convincing. Overall, this work will be of interest to neuroscientists engaged in the analysis of large-scale neuronal recordings.

eLife Assessment

This study addresses an important question in gustatory neuroscience by developing a machine-learning classifier to identify distinct ingestive orofacial movement subtypes from electromyographic recordings and relating their dynamics to population-level activity in the gustatory cortex. The evidence that transitions in cortical ensemble firing are temporally associated with reorganization of ingestive movement patterns is convincing, though some aspects of the behavioral classification and neural analyses require further validation and clarification. The work provides a technically innovative framework for linking neural state dynamics to the motor expression of taste-guided decisions.