Literature DB >> 21299273

Looking beyond the boundaries: time to put landmarks back on the cognitive map?

Adina R Lew1.   

Abstract

Since the proposal of Tolman (1948) that mammals form maplike representations of familiar environments, cognitive map theory has been at the core of debates on the fundamental mechanisms of animal learning and memory. Traditional formulations of cognitive map theory emphasize relations between landmarks and between landmarks and goal locations as the basis of the map. More recently, several models of spatial coding have taken the boundaries of an environment as the basis of the cognitive map, with landmark relations being processed through alternative, operant learning mechanisms. In this review, the evidence for this proposed dichotomy is analyzed. It is suggested that 2 factors repeatedly confound efforts to compare spatial coding based on landmark arrays, formed by 2 or more landmarks, and that based on the boundaries of an environment. The factors are the perceived stability of the landmark arrays and their placement relative to the larger environment. Although the effects of landmark stability and of placement on spatial navigation have been studied extensively, the implications of this work for debates concerning the role of boundaries in cognitive map formation have not been fully realized. It is argued that when these 2 factors are equated between landmark arrays and bounded environments, current evidence supports a commonality of spatial coding mechanism rather than a dichotomy. The analysis places further doubt on the existence of a dedicated geometric module for reorientation and is consistent with models of navigation containing mapping and operant learning components, both taking as input local views (Sheynikhovich et al., 2009).
© 2011 American Psychological Association

Mesh:

Year:  2011        PMID: 21299273     DOI: 10.1037/a0022315

Source DB:  PubMed          Journal:  Psychol Bull        ISSN: 0033-2909            Impact factor:   17.737


  17 in total

1.  Spatial reorientation by geometry with freestanding objects and extended surfaces: a unifying view.

Authors:  Tommaso Pecchia; Giorgio Vallortigara
Journal:  Proc Biol Sci       Date:  2012-01-11       Impact factor: 5.349

2.  Error detection and error memory in spatial navigation as reflected by electrodermal activity.

Authors:  Lisa Holper; Natalie Jäger; Felix Scholkmann; Martin Wolf
Journal:  Cogn Process       Date:  2013-05-23

Review 3.  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

4.  Two-category place representations persist over body rotations.

Authors:  Hyoun Kyoung Pyoun; Jesse Sargent; Stephen Dopkins; John Philbeck
Journal:  Mem Cognit       Date:  2013-11

Review 5.  The Neurocognitive Basis of Spatial Reorientation.

Authors:  Joshua B Julian; Alexandra T Keinath; Steven A Marchette; Russell A Epstein
Journal:  Curr Biol       Date:  2018-09-10       Impact factor: 10.834

6.  Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration.

Authors:  Allen Cheung; David Ball; Michael Milford; Gordon Wyeth; Janet Wiles
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

7.  Learned predictiveness training modulates biases towards using boundary or landmark cues during navigation.

Authors:  Matthew G Buckley; Alastair D Smith; Mark Haselgrove
Journal:  Q J Exp Psychol (Hove)       Date:  2014-11-20       Impact factor: 2.143

8.  From objects to landmarks: the function of visual location information in spatial navigation.

Authors:  Edgar Chan; Oliver Baumann; Mark A Bellgrove; Jason B Mattingley
Journal:  Front Psychol       Date:  2012-08-27

9.  Retrosplenial cortex codes for permanent landmarks.

Authors:  Stephen D Auger; Sinéad L Mullally; Eleanor A Maguire
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

10.  A central role for the retrosplenial cortex in de novo environmental learning.

Authors:  Stephen D Auger; Peter Zeidman; Eleanor A Maguire
Journal:  Elife       Date:  2015-08-18       Impact factor: 8.140

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