Extended Data Fig. 1: Probabilistic graphical models of task-DyVA. | Nature Human Behaviour

Extended Data Fig. 1: Probabilistic graphical models of task-DyVA.

From: Modelling human behaviour in cognitive tasks with latent dynamical systems

Extended Data Fig. 1

Shaded nodes indicate observed variables; unshaded nodes indicate unobserved (latent) variables. Circles indicate variables that depend stochastically on their parent nodes; diamonds indicate variables that depend deterministically on their parent nodes. ut: model representation of the task stimuli at timestep t; xt: model representation of the task responses at timestep t; zt: the model’s latent state at timestep t; wt: noise added to the latent state at timestep t; ht: output of the backward RNN used in the encoder model at timestep t. See Methods for additional information. a, The generative model of task-DyVA. b, The encoder (inference) model of task-DyVA.

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