Active inference unifies intentional and conflict-resolution imperatives of motor control
Fig 8
Second simulation: multisensory conflict in the rubber hand illusion (RHI).
Schematic representation of the agent seeing a virtual hand through a virtual reality stereoscopic headset. (B) Task specification. The agent undergoes a body ownership illusion over a virtual arm shown with a rotation θT with respect the real arm initial position. (C-G) Dynamics of the model variables during the task. The vertical bars mark the time of the illusion onset. (C) Joint angle of the real (black) and inferred (red) arm configurations, expressed in radians; the blue line represents the virtual arm configuration θT. (D) Real (black) and inferred (red) velocity of the elbow joint angle velocity. (E) Action, represented in our model as an angular acceleration. (F) The three prediction errors considered in the model: the model dynamics error (green) and the two sensory errors, proprioceptive (magenta) and visual (blue). Please note that in this plot, the prediction error units correspond to different dimensions. (G) Contributions of proprioceptive (magenta) and visual (blue) prediction errors in determining the action, more specifically the two addends in the r.h.s. of Eq G4 in Fig 6. The gray line represents the potential visual contribution that is set off by assuming that kA,v = 0. See the main text for explanation.