Thomas, MSC;
Fedor, A;
Davis, R;
Yang, J;
Alireza, H;
Charman, T;
Masterson, J;
(2019)
Computational modelling of interventions for developmental disorders.
Psychological Review
10.1037/rev0000151.
(In press).
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Abstract
We evaluate the potential of connectionist models of developmental disorders to offer insights into theefficacy of interventions. Based on a range of computational simulation results, we assess factors thatinfluence the effectiveness of interventions for reading, language, and other cognitive developmentaldisorders. The analysis provides a level of mechanistic detail that is generally lacking in behavioralapproaches to intervention. We review an extended program of modeling work in four sections. In thefirst, we consider long-term outcomes and the possibility of compensated outcomes and resolution ofearly delays. In the second section, we address methods to remediate atypical development in a singlenetwork. In the third section, we address interventions to encourage compensation via alternativepathways. In the final section, we consider the key issue of individual differences in response tointervention. Together with advances in understanding the neural basis of developmental disorders andneural responses to training, formal computational approaches can spur theoretical progress to narrow thegap between the theory and practice of intervention.
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