Gambino Lab

Research focus

ERC Consolidator Grant · 2021

Higher-order motor control of stochastic behavior in an uncertain environment

Decision-making behaviors often occur in the absence of clear instruction to guide action. Instead, theories and experiments have predicted that the brain must compute a decision-value based on past experience to select the best action. This implies that the action with the highest subjective value should always be chosen. However, behavior is often stochastic with variability from trial-to-trial. To resolve this long-standing paradox, MOTORHEAD will take full advantage of state-of-the-art in vivo neuronal recordings and computational methods in behaving rodent to bridge for the first time the gap between deterministic decision-signal and stochastic motor commands, achieving thus an…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.