Specialization with cortical models: An application to causality learning
نویسندگان
چکیده
In this paper we present the principle of learning by specialization within a cortically-inspired framework. Specialization of neurons in the cortex has been observed, and many models are using such \cortical-like" learning mechanisms, adapted for computational efciency. Adaptations will be discussed, in light of experiments with our cortical model addressing causality learning from perceptive sequences.
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تاریخ انتشار 1999