Hosted by the Neural Computation Hub
Summary: Reaction time variability is a prominent property of our actions, and there has been extensive investigation into the roles of different brain regions in movement generation and reaction time variability. Mathematical psychological models, such as the stochastic drift-diffusion model, have been developed to explain this process. However, to date, there is no neural mechanistic model of movement initiation that explains the computations involved and the sources of neural variability. In this talk, I will discuss a recent study that addresses this gap by analysing neural data collected from non-human primate prefrontal cortex. We provide a comprehensive model of movement generation and reaction time variability that explains how an abstract model of decision-making is implemented in a neural circuit.
Bio: Camilo Libedinsky is an Assistant Professor at the Department of Psychology of NUS and a principal investigator at the N.1 Institute for Health (N.1). He received his B.Sc. from Universidad de Chile and his Ph.D. from Harvard University. His lab aims to understand the neural mechanisms underlying cognitive function at the level of neural populations.
Click here to join the meeting on Teams