Neuroscience

eLife Assessment

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, behaviorally relevant timescales. The authors propose a circuit model in which spatially heterogeneous inhibition constrains network dynamics to sequential activity on distinct neural subspaces and allows top-down sequence selection on fast timescales. The study convincingly demonstrates how this mechanism could operate and makes predictions about connectivity patterns and dynamics.

eLife Assessment

This study investigates how people adapt their speech when auditory feedback is altered. The analyses are rigorous and the work makes a valuable contribution by extending methods from limb motor control to speech. However, because the paradigm does not directly measure sensory error, the evidence for the proposed mechanism of sensorimotor learning is incomplete. The findings are best viewed as evidence for how prior motor adjustments influence subsequent behaviour, highlighting the need for future studies to more precisely separate sensory and motor contributions to adaptation.