Towards identifying principles for clinical intervention in developmental language disorders: Establishing a neurocomputational foundation

Abstract

We used a simple artificial neural network model to begin the work of understanding what principles underlie effective interventions for developmental disorders of language and cognition, from the perspective of neurocomputational mechanisms of development. The work aims to complement a clinical perspective of the principles of effective intervention. Our study explored the effectiveness of different types of intervention modeled as items added to the normal training set. We assessed whether best interventions were specific to problem domains, specific to deficit types, and/or dependent on when in development they take place.


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