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Rucci et al. present an algorithm which performs auditory localization and combines auditory and visual localization in a common SC map. The mapping between the representations is learned using value-dependent learning.

Rucci et al. model learning of audio-visual map alignment in the barn owl SC. In their model, projections from the retina to the SC are fixed (and visual RFs are therefore static) and connections from ICx are adapted through value-dependent learning.

Occluding one ear early in life shifts the map of auditory space with respect to the map of visual space in barn owls. Prolonged occlusion of one ear early in life leads to a permanent realignment of the auditory map with the visual map.

The receptive fields of certain neurons in the cat's deep SC shift when the eye position is changed. Thus, the map of auditory space in the deep SC is temporarily realigned to stay in register with the retinotopic map.

Moving the eyes shifts the auditory and somatosensory maps in the SC.

Moving eyes, ears, or body changes the receptive field (in external space) in SC neurons wrt. stimuli in the respective modality.

Sensory re-mapping is often incomplete.