A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies

Martin Llofriu, Pablo Scleidorovich, Gonzalo Tejera, Marco Contreras, Tatiana Pelc, Jean Marc Fellous, Alfredo Weitzenfeld

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a biologically-inspired computational model of the rodent hippocampus based on recent studies of the hippocampus showing that its longitudinal axis is involved in complex spatial navigation. While both poles of the hippocampus, i.e. septal (dorsal) and temporal (ventral), encode spatial information; the septal area has traditionally been attributed more to navigation and action selection; whereas the temporal pole has been more involved with learning and motivation. In this work we hypothesize that the septal-temporal organization of the hippocampus axis also provides a multi-scale spatial representation that may be exploited during complex rodent navigation. To test this hypothesis, we developed a multi-scale model of the hippocampus evaluated it with a simulated rat on a multi-goal task, initially in a simplified environment, and then on a more complex environment where multiple obstacles are introduced. In addition to the hippocampus providing a spatial representation of the environment, the model includes an actor-critic framework for the motivated learning of the different tasks.

Original languageEnglish (US)
Title of host publication2019 International Joint Conference on Neural Networks, IJCNN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119854
DOIs
StatePublished - Jul 2019
Event2019 International Joint Conference on Neural Networks, IJCNN 2019 - Budapest, Hungary
Duration: Jul 14 2019Jul 19 2019

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2019-July

Conference

Conference2019 International Joint Conference on Neural Networks, IJCNN 2019
CountryHungary
CityBudapest
Period7/14/197/19/19

Fingerprint

Navigation
Poles
Rats
Rodentia

Keywords

  • computational neuroscience
  • learning
  • navigation
  • neural networks
  • spatial cognition

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Llofriu, M., Scleidorovich, P., Tejera, G., Contreras, M., Pelc, T., Fellous, J. M., & Weitzenfeld, A. (2019). A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. In 2019 International Joint Conference on Neural Networks, IJCNN 2019 [8851852] (Proceedings of the International Joint Conference on Neural Networks; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2019.8851852

A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. / Llofriu, Martin; Scleidorovich, Pablo; Tejera, Gonzalo; Contreras, Marco; Pelc, Tatiana; Fellous, Jean Marc; Weitzenfeld, Alfredo.

2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8851852 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Llofriu, M, Scleidorovich, P, Tejera, G, Contreras, M, Pelc, T, Fellous, JM & Weitzenfeld, A 2019, A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. in 2019 International Joint Conference on Neural Networks, IJCNN 2019., 8851852, Proceedings of the International Joint Conference on Neural Networks, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., 2019 International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary, 7/14/19. https://doi.org/10.1109/IJCNN.2019.8851852
Llofriu M, Scleidorovich P, Tejera G, Contreras M, Pelc T, Fellous JM et al. A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. In 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8851852. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2019.8851852
Llofriu, Martin ; Scleidorovich, Pablo ; Tejera, Gonzalo ; Contreras, Marco ; Pelc, Tatiana ; Fellous, Jean Marc ; Weitzenfeld, Alfredo. / A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the International Joint Conference on Neural Networks).
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