“…That is, action nodes in the current ANM were not simply a mere 'output' system of higher-order decision-making areas, but instead, served as a neural hub that integrated different sources of decision-relevant information. In line with previous studies, multiple action representations evolved in parallel, in a dynamic and gradual manner that depended on the current state of evidence in favour of each action, and action selection was determined through a winner-take-all competition between these multiple co-existing affordances (Cisek & Kalaska, 2005;Cisek, 2007;Pastor-Bernier & Cisek, 2011;Selen, Shadlen, & Wolpert, 2012;Thura & Cisek, 2014;Yoo & Hayden, 2018). Moreover, motor outcomes of the model (i.e., simulated movement trajectories) affected subsequent decision updates by causing changes in motor costs (i.e., changes in distance to each target).…”