Computational Modelling

A Special Issue of Cognitive Neuropsychology

AvGary S. Dell,Alfonso Caramazza

Inbunden, Engelska, 2008

Del i serien Special Issues of Cognitive Neuropsychology

1 827 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

The papers in the special issue describe computational models and principles that attempt to explain the performance of brain damaged subjects. The models elucidate the cognitive processes that underlie speaking, reading, spelling, and visuospatial planning by implementing hypothesized mechanisms and then identifying the consequences of specific "lesions" in these mechanisms for the model’s behaviour which, in turn, is related to the subjects’ behaviour. Although most of the presented models view cognitive mechanisms in connectionist or neural-network terms, they exhibit considerable variety in their underlying cognitive theories, their approach to modelling pathology, and particularly in how they use models to draw conclusions about theory.

Produktinformation

Utgivningsdatum:2008-07-01
Mått:189 x 246 x 13 mm
Vikt:521 g
Format:Inbunden
Språk:Engelska
Serie:Special Issues of Cognitive Neuropsychology
Antal sidor:188
Förlag:Taylor & Francis Ltd
ISBN:9781841698557

Utforska kategorier

Mer om författaren

Gary S. Dell, Alfonso Caramazza

Innehållsförteckning

Dilkina, McClelland, Plaut, A Single-system Account of Semantic and Lexical Deficits in Five Semantic Dementia Patients. Nickels, Biedermann, Coltheart, Saunders, Tree, Computational Modelling of Phonological Dyslexia: How Does the DRC Model Fare? Cutini, Di Ferdinando, Basso, Bisiacchi, Zorzi, Visuospatial Planning in the Travelling Salesperson Problem: A Connectionist Account of Normal and Impaired Performance. Goldberg, Rapp, Is Compound Chaining the Serial Order Mechanism of Spelling? A Simple Recurrent Network Investigation. Knobel, Finkbeiner, Caramazza, The Many Places of Frequency: Evidence For a Novel Locus of the Lexical Frequency Effect in Word Production. Goldrick, Does Like attract Like? Exploring the Relationship Between Errors and Representational Similarity in Connectionist Networks.