Abstract
A computational model of the Basal Ganglia and the Hippocampus as key players in solving a navigation task is presented. The roles played by the above-mentioned neural substrates in navigation are demonstrated by an exploration task performed by a model rat in a simulated Morris Water Maze. To highlight the role of hippocampus in navigation, the agent is made to adopt a context-based navigation strategy. To demonstrate the role of BG in navigation, the agent is made to adopt a visual cue-based navigation strategy. The models are developed based on “actor-critic” architecture and trained using reinforcement learning. The above two models are integrated into a complete model which incorporates the above two forms of navigation.
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Sukumar, D., Chakravarthy, S. (2010). A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15822-3_28
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DOI: https://doi.org/10.1007/978-3-642-15822-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15821-6
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