Mediated learning: A computational rendering of ketamine-induced symptoms.
Behavioral neuroscience June 1, 2024 Esther Mondragón 3 citations
A computational model of associative learning, the double error dynamic asymptote model, can help explain how spurious associations arise in schizophrenia. The model simulates mediated conditioning, mediated extinction, and a novel prediction of mediated enhancement of latent inhibition. Manipulating a parameter that controls memory retrieval and the decay of nonperceptual representations produces effects similar to those caused by ketamine on associative memories and mediated learning. The model offers a plausible error-correction mechanism that may account for associative deficits observed in animal models of schizophrenia.