About: Regulated Activation Networks

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Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs), which are summarized as: * The model must have a dynamic topology. * The model must be capable creating abstract concepts. * The model must be able to learn association among the concepts. * The model must exhibit time-variant activation states.

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  • Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs), which are summarized as: * The model must have a dynamic topology. * The model must be capable creating abstract concepts. * The model must be able to learn association among the concepts. * The model must exhibit time-variant activation states. (en)
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  • Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs), which are summarized as: * The model must have a dynamic topology. * The model must be capable creating abstract concepts. * The model must be able to learn association among the concepts. * The model must exhibit time-variant activation states. (en)
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  • Regulated Activation Networks (en)
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