PT - JOURNAL ARTICLE AU - David Thura AU - Jean-François Cabana AU - Albert Feghaly AU - Paul Cisek TI - Unified neural dynamics of decisions and actions in the cerebral cortex and basal ganglia AID - 10.1101/2020.10.22.350280 DP - 2020 Jan 01 TA - bioRxiv PG - 2020.10.22.350280 4099 - http://biorxiv.org/content/early/2020/10/23/2020.10.22.350280.short 4100 - http://biorxiv.org/content/early/2020/10/23/2020.10.22.350280.full AB - Several theoretical models suggest that deciding about actions and executing them are not completely distinct neural mechanisms but instead two modes of an integrated dynamical system. Here, we investigate this proposal by examining how neural activity unfolds during a dynamic decision-making task within the high-dimensional space defined by the activity of cells in monkey dorsal premotor (PMd), primary motor (M1), and dorsolateral prefrontal cortex (dlPFC) as well as the external and internal segments of the globus pallidus (GPe, GPi). Dimensionality reduction shows that the four strongest components of neural activity are functionally interpretable, reflecting a state transition between deliberation and commitment, the transformation of sensory evidence into a choice, and the baseline and slope of the rising urgency to decide. Analysis of the contribution of each population to these components shows differences between regions but no distinct clusters within each region. During deliberation, cortical activity unfolds on a two-dimensional “decision manifold” defined by sensory evidence and urgency, and falls off this manifold at the moment of commitment into a choice-dependent trajectory leading to movement initiation. The structure of the manifold varies between regions: In PMd it is curved, in M1 it is nearly perfectly flat, and in dlPFC it is almost entirely confined to the sensory evidence dimension. In contrast, pallidal activity during deliberation is primarily defined by urgency. We suggest that these findings reveal the distinct dynamics of different regions, supporting a unified recurrent attractor model of action selection and execution.Competing Interest StatementThe authors have declared no competing interest.