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A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit

Toon Van de Maele (UGent) , Bart Dhoedt (UGent) , Tim Verbelen (UGent) and Giovanni Pezzulo
(2024) NATURE COMMUNICATIONS. 15(1).
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Abstract
Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Physical space navigation involves hippocampal (HC) allocentric codes, while abstract task space engages medial prefrontal cortex (mPFC) task-specific codes. Previous studies show that challenging tasks, like spatial alternation, require integrating these two types of maps. The disruption of the HC-mPFC circuit impairs performance. We propose a hierarchical active inference model clarifying how this circuit solves spatial interaction tasks by bridging physical and task-space maps. Simulations demonstrate that the model's dual layers develop effective cognitive maps for physical and task space. The model solves spatial alternation tasks through reciprocal interactions between the two layers. Disrupting its communication impairs decision-making, which is consistent with empirical evidence. Additionally, the model adapts to switching between multiple alternation rules, providing a mechanistic explanation of how the HC-mPFC circuit supports spatial alternation tasks and the effects of disruption. How cognitive maps of physical and task space interact when executing cognitive tasks is not fully understood. This paper models how the hippocampal-prefrontal circuits solves memory-guided spatial alternation tasks, by bridging cognitive maps of physical and taskspace.
Keywords
FREE-ENERGY PRINCIPLE, COGNITIVE MAP, MEMORY, REPLAY, GOAL, OSCILLATIONS, CORTEX, NAVIGATION, SEQUENCES, RIPPLE

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MLA
Van de Maele, Toon, et al. “A Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit.” NATURE COMMUNICATIONS, vol. 15, no. 1, 2024, doi:10.1038/s41467-024-54257-3.
APA
Van de Maele, T., Dhoedt, B., Verbelen, T., & Pezzulo, G. (2024). A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit. NATURE COMMUNICATIONS, 15(1). https://doi.org/10.1038/s41467-024-54257-3
Chicago author-date
Van de Maele, Toon, Bart Dhoedt, Tim Verbelen, and Giovanni Pezzulo. 2024. “A Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit.” NATURE COMMUNICATIONS 15 (1). https://doi.org/10.1038/s41467-024-54257-3.
Chicago author-date (all authors)
Van de Maele, Toon, Bart Dhoedt, Tim Verbelen, and Giovanni Pezzulo. 2024. “A Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit.” NATURE COMMUNICATIONS 15 (1). doi:10.1038/s41467-024-54257-3.
Vancouver
1.
Van de Maele T, Dhoedt B, Verbelen T, Pezzulo G. A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit. NATURE COMMUNICATIONS. 2024;15(1).
IEEE
[1]
T. Van de Maele, B. Dhoedt, T. Verbelen, and G. Pezzulo, “A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit,” NATURE COMMUNICATIONS, vol. 15, no. 1, 2024.
@article{01JDHFFH5P0MCXB2X62HRZ7HF6,
  abstract     = {{Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Physical space navigation involves hippocampal (HC) allocentric codes, while abstract task space engages medial prefrontal cortex (mPFC) task-specific codes. Previous studies show that challenging tasks, like spatial alternation, require integrating these two types of maps. The disruption of the HC-mPFC circuit impairs performance. We propose a hierarchical active inference model clarifying how this circuit solves spatial interaction tasks by bridging physical and task-space maps. Simulations demonstrate that the model's dual layers develop effective cognitive maps for physical and task space. The model solves spatial alternation tasks through reciprocal interactions between the two layers. Disrupting its communication impairs decision-making, which is consistent with empirical evidence. Additionally, the model adapts to switching between multiple alternation rules, providing a mechanistic explanation of how the HC-mPFC circuit supports spatial alternation tasks and the effects of disruption.

 How cognitive maps of physical and task space interact when executing cognitive tasks is not fully understood. This paper models how the hippocampal-prefrontal circuits solves memory-guided spatial alternation tasks, by bridging cognitive maps of physical and taskspace.}},
  articleno    = {{9892}},
  author       = {{Van de Maele, Toon and Dhoedt, Bart and Verbelen, Tim and Pezzulo, Giovanni}},
  issn         = {{2041-1723}},
  journal      = {{NATURE COMMUNICATIONS}},
  keywords     = {{FREE-ENERGY PRINCIPLE,COGNITIVE MAP,MEMORY,REPLAY,GOAL,OSCILLATIONS,CORTEX,NAVIGATION,SEQUENCES,RIPPLE}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{16}},
  title        = {{A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit}},
  url          = {{http://doi.org/10.1038/s41467-024-54257-3}},
  volume       = {{15}},
  year         = {{2024}},
}
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