A neural-network model using action-outcome prediction, novelty-driven exploration, and motor noise reproduces limb-preference, control-group, and extinction-burst results from the infant mobile paradigm.
Contingency detection and the contingent organization of behavior in interactions: Implications for socioemotional development in infancy,
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A computational model of infant sensorimotor exploration in the mobile paradigm
A neural-network model using action-outcome prediction, novelty-driven exploration, and motor noise reproduces limb-preference, control-group, and extinction-burst results from the infant mobile paradigm.