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Tabareau et al. propose a scheme for a transformation from the topographic mapping in the SC to the temporal code of the saccadic burst generators.

According to their analysis, that code needs to be either linear or logarithmic.

MLE has been a successful model in many sensory cue integration tasks.

Purely computational, Bayesian accounts of cognition are underconstrained.

Yu and Dayan propose a model of inference and learning in which expected uncertainty is encoded by high acetylcholine (ACh) levels and unexpected uncertainty is encoded by norapinephrine (NE).

Ghahramani et al. discuss computational models of sensorimotor integration.