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A cortical model for spatial navigation planning Louis-Emmanuel Martinet1,2, Denis Sheynikhovich1, Jean-Arcady Meyer2, Angelo Arleo1
 

Summary: A cortical model for spatial navigation planning
Louis-Emmanuel Martinet1,2, Denis Sheynikhovich1, Jean-Arcady Meyer2, Angelo Arleo1
1 CNRS, UPMC Univ Paris 6, UMR 7102, F-75005, Paris, France
2 CNRS, UPMC Univ Paris 6, UMR 7222, ISIR, F-75005, Paris, France
E-mail: louis-emmanuel.martinet@upmc.fr
According to experimental evidence, spatial navigation planning is likely to rely upon a distributed neural network
spanning limbic and cortical brain structures. This network includes (i) the hippocampus, which mediates robust
spatial representations, and (ii) neocortical structures, such as the prefrontal cortex, which participate to the
elaboration of more abstract contextual descriptions (e.g., accounting for motivation-dependent memories and action
cost/risk constraints). In order to investigate this working hypothesis, we model the interaction between the
hippocampus [1] and the prefrontal cortex [2]. We focus on the cortical columnar organisation to study a
neuromimetic architecture suitable for spatial navigation planning. We validate the system's learning performance
on a classical spatial behavioural task, the Tolman & Honzik's detour protocol [3], which suggests that rodents can
plan flexible goal-directed trajectories in the presence of blocked pathways. We also put forth a set of statistical
analysis to assess the spatial coding properties of the model hippocampal place and cortical column cells.
Here, we couple our hippocampal place cell [1] and columnar cortical [2] models to provide a better
understanding of the dynamics of the action planning neural network. We also improve the biological plausibility of
the cortical model, by explicitly identifying the subpopulations of (rate code) neurones that encode different
information (e.g., current spatial state, goal-related and prospective memory signals, local actions). This approach
has several advantages: (i) the response of each subpopulation being more specific, it makes it possible to perform a

  

Source: Arleo, Angelo - Laboratory of Neurobiology of Adaptive Processes, Université Pierre-et-Marie-Curie, Paris 6

 

Collections: Biology and Medicine