Reaction time variability in a delayed memory saccade task replicated by a recurrent neural network model
Roger Herikstad, Camilo Libedinsky · FENS Forum 2024
Reaction time (RT), that is the time it takes for an action plan to be executed, has been the interested of numerous studies. Of particular focus has been the RT in the context of perceptual ambiguities, when evidence towards taking a certain action must be integrated over time in order to execute the correct action. The stochastic drift diffusion model explains how such integration leads to the observed variability in RT, but what explains RT variability in a task where there is no ambiguity in what action will be rewarded?We trained recurrent neural network models to perform a delayed memory
ePoster · Neuroscience