Mediated learning: A computational rendering of ketamine-induced symptoms.
Behavioral Neuroscience June 1, 2024 DOI: 10.1037/bne0000591 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Esketamine Ketamine |
| Keywords | Psychopharmacology Cognitive science Schizophrenia research Memory formation |
| Citations | 3 |
| Key points | Argues that the double error dynamic asymptote model can simulate mediated learning effects that parallel ketamine-induced disruptions in associative memory, offering a mechanism for spurious associations in schizophrenia. |
Abstract
This article explores the contribution of the double error dynamic asymptote computational associative learning model to understanding the role of mediated learning mechanisms in the generation of spurious associations, as those postulated to characterize schizophrenia. Three sets of simulations for mediated conditioning, mediated extinction, and a mediated enhancement of latent inhibition, a unique model prediction, are presented. For each set of simulations, a parameter that modulates the impact of associative memory retrieval and the dissipation of nonperceptual activated representations through the network was manipulated. The effect of this operation is analyzed and compared to ketamine-induced effects on associative memories and mediated learning. The model's potential to predict these effects and present a plausible error-correction associative mechanism is discussed in the context of animal models of schizophrenia. (PsycInfo Database Record (c) 2024 APA, all rights reserved).