MODELING COGNITION IN AUTISM: A BRIEF REVIEW OF CONNECTIONIST SIMULATIONS
A megismerés modellezése autizmusban: a konnekcionista (mesterséges neuronhálózatos) szimulációk rövid áttekintése
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Autism is one of the most intensively investigated human neurocognitive disorders. This distinguished interest has several reasons; such as the significance of the affected cognitive mechanisms, the relatively high incidence and complexity of the disorder, and also the expectation that results from autism research can contribute substantially to the understanding of typical cognitive development and functioning, too. Connectionism is a specific mathematical tool-kit, inspired by the neural system, applied for modeling cognitive functions, and especially for modeling developmental aspects and knowledge acquisition. The aim of this paper is to review briefly the attempts that have been made to date to model various cognitive characteristics of autism by connectionist means; the specific tools used, and their most important findings. Special attention is paid to modeling atypical categorisation processes observable in this disorder, as well as to the overall perspectives and limitations for applying connectionism in modeling autism.
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