TY - JOUR
T1 - Supervised calibration relies on the multisensory percept
AU - Zaidel, Adam
AU - Ma, WeiJi
AU - Angelaki, Dora E.
N1 - Funding Information:
We would like to thank Mandy Turner, Jason Arand, and Heide Schoknecht for their help with data collection. This work was supported by NIH grants DC007620 and T32-EY13360 and by the Edmond and Lily Safra Center for Brain Sciences (ELSC) at the Hebrew University of Jerusalem.
PY - 2013/12/18
Y1 - 2013/12/18
N2 - Multisensory plasticity enables us to dynamically adapt sensory cues to one another and to the environment. Without external feedback, "unsupervised" multisensory calibration reduces cue conflict in a manner largely independent of cue reliability. But environmental feedback regarding cue accuracy ("supervised") also affects calibration. Here we measured the combined influence of cue accuracy and cue reliability on supervised multisensory calibration, using discrepant visual and vestibular motion stimuli. When the less reliable cue was inaccurate, it alone got calibrated. However, when the more reliable cue was inaccurate, cues were yoked and calibrated together in the same direction. Strikingly, the less reliable cue shifted away from external feedback, becoming less accurate. A computational model in which supervised and unsupervised calibration work in parallel, where the former only relies on the multisensory percept, but the latter can calibrate cues individually, accounts for the observed behavior. In combination, they could ultimately achieve the optimal solution of both external accuracy and internal consistency.
AB - Multisensory plasticity enables us to dynamically adapt sensory cues to one another and to the environment. Without external feedback, "unsupervised" multisensory calibration reduces cue conflict in a manner largely independent of cue reliability. But environmental feedback regarding cue accuracy ("supervised") also affects calibration. Here we measured the combined influence of cue accuracy and cue reliability on supervised multisensory calibration, using discrepant visual and vestibular motion stimuli. When the less reliable cue was inaccurate, it alone got calibrated. However, when the more reliable cue was inaccurate, cues were yoked and calibrated together in the same direction. Strikingly, the less reliable cue shifted away from external feedback, becoming less accurate. A computational model in which supervised and unsupervised calibration work in parallel, where the former only relies on the multisensory percept, but the latter can calibrate cues individually, accounts for the observed behavior. In combination, they could ultimately achieve the optimal solution of both external accuracy and internal consistency.
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U2 - 10.1016/j.neuron.2013.09.026
DO - 10.1016/j.neuron.2013.09.026
M3 - Article
AN - SCOPUS:84890550637
SN - 0896-6273
VL - 80
SP - 1544
EP - 1557
JO - Neuron
JF - Neuron
IS - 6
ER -