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A computational neuromotor model of the role of basal ganglia and hippocampus in spatial navigation
Published in
2010
Volume: 6353 LNCS
   
Issue: PART 2
Pages: 216 - 221
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. © 2010 Springer-Verlag Berlin Heidelberg.
About the journal
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN03029743
Open AccessNo
Concepts (14)
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    Actor critic
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    BASAL GANGLIA
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    Computational model
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    Context-based
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    EXPLORATION TASKS
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    Morris water maze
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    NAVIGATION STRATEGIES
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    NAVIGATION TASKS
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    NEURAL SUBSTRATES
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    NEUROMOTOR
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    Spatial navigation
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    Computer simulation
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    Navigation
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    Neural networks