Literature DB >> 19618986

Is there a geometric module for spatial orientation? Insights from a rodent navigation model.

Denis Sheynikhovich1, Ricardo Chavarriaga, Thomas Strösslin, Angelo Arleo, Wulfram Gerstner.   

Abstract

Modern psychological theories of spatial cognition postulate the existence of a geometric module for reorientation. This concept is derived from experimental data showing that in rectangular arenas with distinct landmarks in the corners, disoriented rats often make diagonal errors, suggesting their preference for the geometric (arena shape) over the nongeometric (landmarks) cues. Moreover, sensitivity of hippocampal cell firing to changes in the environment layout was taken in support of the geometric module hypothesis. Using a computational model of rat navigation, the authors proposed and tested the alternative hypothesis that the influence of spatial geometry on both behavioral and neuronal levels can be explained by the properties of visual features that constitute local views of the environment. Their modeling results suggest that the pattern of diagonal errors observed in reorientation tasks can be understood by the analysis of sensory information processing that underlies the navigation strategy employed to solve the task. In particular, 2 navigation strategies were considered: (a) a place-based locale strategy that relies on a model of grid and place cells and (b) a stimulus-response taxon strategy that involves direct association of local views with action choices. The authors showed that the application of the 2 strategies in the reorientation tasks results in different patterns of diagonal errors, consistent with behavioral data. These results argue against the geometric module hypothesis by providing a simpler and biologically more plausible explanation for the related experimental data. Moreover, the same model also describes behavioral results in different types of water-maze tasks. Copyright (c) 2009 APA, all rights reserved.

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Year:  2009        PMID: 19618986     DOI: 10.1037/a0016170

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  40 in total

1.  Environmental Geometry Aligns the Hippocampal Map during Spatial Reorientation.

Authors:  Alex T Keinath; Joshua B Julian; Russell A Epstein; Isabel A Muzzio
Journal:  Curr Biol       Date:  2017-01-12       Impact factor: 10.834

2.  Core knowledge and the emergence of symbols: The case of maps.

Authors:  Yi Huang; Elizabeth S Spelke
Journal:  J Cogn Dev       Date:  2015-01

Review 3.  Path integration, views, search, and matched filters: the contributions of Rüdiger Wehner to the study of orientation and navigation.

Authors:  Ken Cheng; Cody A Freas
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-02-07       Impact factor: 1.836

Review 4.  25 years of research on the use of geometry in spatial reorientation: a current theoretical perspective.

Authors:  Ken Cheng; Janellen Huttenlocher; Nora S Newcombe
Journal:  Psychon Bull Rev       Date:  2013-12

Review 5.  Modelling effects on grid cells of sensory input during self-motion.

Authors:  Florian Raudies; James R Hinman; Michael E Hasselmo
Journal:  J Physiol       Date:  2016-07-10       Impact factor: 5.182

6.  Hippocampal global remapping for different sensory modalities in flying bats.

Authors:  Maya Geva-Sagiv; Sandro Romani; Liora Las; Nachum Ulanovsky
Journal:  Nat Neurosci       Date:  2016-05-30       Impact factor: 24.884

7.  A goal-directed spatial navigation model using forward trajectory planning based on grid cells.

Authors:  Uğur M Erdem; Michael Hasselmo
Journal:  Eur J Neurosci       Date:  2012-03-07       Impact factor: 3.386

8.  Age-related preference for geometric spatial cues during real-world navigation.

Authors:  Marcia Bécu; Denis Sheynikhovich; Guillaume Tatur; Catherine Persephone Agathos; Luca Leonardo Bologna; José-Alain Sahel; Angelo Arleo
Journal:  Nat Hum Behav       Date:  2019-09-23

9.  Spatial learning and action planning in a prefrontal cortical network model.

Authors:  Louis-Emmanuel Martinet; Denis Sheynikhovich; Karim Benchenane; Angelo Arleo
Journal:  PLoS Comput Biol       Date:  2011-05-19       Impact factor: 4.475

10.  Reinforcement learning using a continuous time actor-critic framework with spiking neurons.

Authors:  Nicolas Frémaux; Henning Sprekeler; Wulfram Gerstner
Journal:  PLoS Comput Biol       Date:  2013-04-11       Impact factor: 4.475

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