Modeling of Basal Ganglia to Incorporate the Procedural Memory

3 Pages Posted: 12 Apr 2019

See all articles by Rahul Shrivastava

Rahul Shrivastava

National Institute of Technology,

Sudhakar Tripathi

Rajkiya Engineering College

Prabhat Kumar

National Institute of Technology (NIT), Patna - Department of Computer Science and Engineering

Date Written: March 9, 2019

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.

Keywords: Procedural Memory, Basal Ganglia, Sequence Learning, Reinforcement Learning, Motor Skill Learning, Cognitive Procedural Memory

Suggested Citation

Shrivastava, Rahul and Tripathi, Sudhakar and Kumar, Prabhat, Modeling of Basal Ganglia to Incorporate the Procedural Memory (March 9, 2019). Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019, Available at SSRN: https://ssrn.com/abstract=3349587 or http://dx.doi.org/10.2139/ssrn.3349587

Rahul Shrivastava (Contact Author)

National Institute of Technology, ( email )

Patna
India

Sudhakar Tripathi

Rajkiya Engineering College ( email )

Ambedkar Nagar
India

Prabhat Kumar

National Institute of Technology (NIT), Patna - Department of Computer Science and Engineering ( email )

Ashok Rajpath, Mahendru
Patna, Bihar 800005
India

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