Methodological and theoretical issues in neural network models of frontal cognitive functions.

作者: Daniel S. Levine , Randolph W. Parks , Paul S. Prueitt

DOI: 10.3109/00207459309024110

关键词:

摘要: Neural network models have made significant strides in recent years toward modeling of neuropsycho-logical data. particular, three different research groups, including that the present authors, simulated model networks some behavioral effects frontal lobe damage. this article we review these and discuss their significance terms hierarchical organization nervous system. These models, to varying degrees, incorporate several widely used neural principles also been a wide range data other areas such as categorization, conditioning, motor control. include associative learning, competition, opponent processing, neu-romodulation, interlevel resonant feedback. Specifically, show how combinations serve attentional requirements cognitive tasks plans.

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