Fig. 5.

The computational anatomy of oculomotion On the left of this schematic, we show a plausible anatomical implementation of the Bayesian filtering equations in Fig. 3. This satisfies the connectivity constraints described in the main text. Note that we have included motor neurons (grey) that represent action. As Fig. 3 indicates, these only receive direct influences from the prediction error units at the sensory level. On the right, we show the simulated neuronal activities, along with a horizontal electrooculographic (HEOG) trace indicating the eye position. Each of the numbered raster plots is associated with a particular neuronal population indicated by numbers in little blue circles. See the main text for a description of these units and Fig. 3 for their equivalent location in the computational architecture. SC = superior colliculus; riMLF = rostral interstitial nucleus of the medial longitudinal fasciculus; PPRF = parapontine reticular formation; RIP = raphe interpositus nucleus.