Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3145
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Odor supported place cell model and goal navigation in rodents
Author(s): Kulvicius, Tomas
Tamosiunaite, Minija
Ainge, James A
Dudchenko, Paul
Worgotter, Florentin
Contact Email: p.a.dudchenko@stir.ac.uk
Keywords: Self-marking navigation
Reinforcement learning
Q-learning
Place cell directionality
Remapping
Animal navigation
Animal marking
Rodents
Odors
Issue Date: Dec-2008
Date Deposited: 1-Jul-2011
Citation: Kulvicius T, Tamosiunaite M, Ainge JA, Dudchenko P & Worgotter F (2008) Odor supported place cell model and goal navigation in rodents. Journal of Computational Neuroscience, 25 (3), pp. 481-500. http://www.springerlink.com/content/0929-5313/; https://doi.org/10.1007/s10827-008-0090-x
Abstract: Experiments with rodents demonstrate that visual cues play an important role in the control of hippocampal place cells and spatial navigation. Nevertheless, rats may also rely on auditory, olfactory and somatosensory stimuli for orientation. It is also known that rats can track odors or self-generated scent marks to find a food source. Here we model odor supported place cells by using a simple feed-forward network and analyze the impact of olfactory cues on place cell formation and spatial navigation. The obtained place cells are used to solve a goal navigation task by a novel mechanism based on self-marking by odor patches combined with a Q-learning algorithm. We also analyze the impact of place cell remapping on goal directed behavior when switching between two environments. We emphasize the importance of olfactory cues in place cell formation and show that the utility of environmental and self-generated olfactory cues, together with a mixed navigation strategy, improves goal directed navigation.
URL: http://www.springerlink.com/content/0929-5313/
DOI Link: 10.1007/s10827-008-0090-x
Rights: This article is published as Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. http://creativecommons.org/licenses/by-nc/2.5.; Published in Journal of Computational Neuroscience by Springer.
Licence URL(s): http://creativecommons.org/licenses/by-nc/3.0/

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