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Using hippocampal-striatal loops for spatial navigation and goal-directed decision-making.

Fabian Chersi1, Giovanni Pezzulo

  • 1Institute of Cognitive Sciences and Technologies, CNR, Via S. Martino della Battaglia 44, 00185, Rome, Italy. fabian.chersi@istc.cnr.it

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This study models how the hippocampus and ventral striatum work together for decision-making. It shows how place cells simulate navigation paths and evaluate rewards, aiding goal-directed behavior.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • The hippocampus is crucial for spatial memory and navigation.
  • Place cells in the hippocampus exhibit spatial selectivity and can fire outside their place fields ('forward sweeps').
  • The ventral striatum, linked to the hippocampus, is involved in reward processing and value encoding.

Purpose of the Study:

  • To develop a computational model of the hippocampal-ventral striatum circuit for goal-directed choice.
  • To investigate the roles of the hippocampus in mental simulation and the ventral striatum in reward evaluation during navigation.

Main Methods:

  • A biologically based computational model of the hippocampal-ventral striatum circuit was created.
  • The model was validated using a rat navigation task in a complex maze with multiple reward sites.

Main Results:

  • The model demonstrated that place cells simulate navigation paths and estimate their value.
  • The simulation of paths and value estimation facilitate decision-making, mimicking model-based reinforcement learning.

Conclusions:

  • The hippocampus and ventral striatum circuit supports goal-directed navigation through mental simulation and reward prediction.
  • This model provides insight into the neural mechanisms underlying choice behavior and reinforcement learning.