Abstract

In this research work, a computational model is proposed for the procedural memory, and tried to mimic the functionalities of the Basal Ganglia, which is the brain region responsible for the procedural memory. In this proposed model, the procedural memory is further divided into the two sub memories. First, is the cognitive procedural memory that learns the sequence of decisions/actions, afterward it predicts the action in context of the previous occurred actions and the current sensory activations. Second, is the motor procedural memory which performs the skill learning task in context to the selected action of the cognitive procedural memory. The Learned action sequences in the cognitive procedural memory may have some overlapping which requires the identification of the current context during the sequence learning task, that helps the model in prediction of action in the current context and reduces the ambiguity. Model selects the action corresponding to the semantic activations of the semantic memory and the current context of the previous occurred actions and the gestures get invoked by the selected cognitive actions which then translated by the real working memory parameters to generate the real low-level action.

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