Literature DB >> 8576692

Computations on metric maps in mammals: getting oriented and choosing a multi-destination route.

C R Gallistel1, A E Cramer.   

Abstract

The capacity to construct a cognitive map is hypothesized to rest on two foundations: (1) dead reckoning (path integration); (2) the perception of the direction and distance of terrain features relative to the animal. A map may be constructed by combining these two sources of positional information, with the result that the positions of all terrain features are represented in the coordinate framework used for dead reckoning. When animals need to become reoriented in a mapped space, results from rats and human toddlers indicate that they focus exclusively on the shape of the perceived environment, ignoring non-geometric features such as surface colors. As a result, in a rectangular space, they are misoriented half the time even when the two ends of the space differ strikingly in their appearance. In searching for a hidden object after becoming reoriented, both kinds of subjects search on the basis of the object's mapped position in the space rather than on the basis of its relationship to a goal sign (e.g. a distinctive container or nearby marker), even though they have demonstrably noted the relationship between the goal and the goal sign. When choosing a multidestination foraging route, vervet monkeys look at least three destinations ahead, even though they are only capable of keeping a maximum of six destinations in mind at once.

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Year:  1996        PMID: 8576692     DOI: 10.1242/jeb.199.1.211

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  15 in total

1.  The hippocampus and flexible spatial knowledge in rats.

Authors:  J M Ramos; J M Vaquero
Journal:  J Physiol Biochem       Date:  2000-12       Impact factor: 4.158

2.  Neuronal Activity in the Posterior Cingulate Cortex Signals Environmental Information and Predicts Behavioral Variability during Trapline Foraging.

Authors:  David L Barack; Michael L Platt
Journal:  J Neurosci       Date:  2021-02-03       Impact factor: 6.167

3.  Using geometry to specify location: implications for spatial coding in children and nonhuman animals.

Authors:  Stella F Lourenco; Janellen Huttenlocher
Journal:  Psychol Res       Date:  2006-09-16

4.  Associative Basis of Landmark Learning and Integration in Vertebrates.

Authors:  Kenneth J Leising; Aaron P Blaisdell
Journal:  Comp Cogn Behav Rev       Date:  2009-01-01

5.  Neural correlates of forward planning in a spatial decision task in humans.

Authors:  Dylan Alexander Simon; Nathaniel D Daw
Journal:  J Neurosci       Date:  2011-04-06       Impact factor: 6.167

6.  Spatial cognition in western gorillas (Gorilla gorilla): an analysis of distance, linearity, and speed of travel routes.

Authors:  Roberta Salmi; Andrea Presotto; Clara J Scarry; Peter Hawman; Diane M Doran-Sheehy
Journal:  Anim Cogn       Date:  2020-02-14       Impact factor: 3.084

7.  Planning paths to multiple targets: memory involvement and planning heuristics in spatial problem solving.

Authors:  J M Wiener; N N Ehbauer; H A Mallot
Journal:  Psychol Res       Date:  2008-11-08

8.  Spatial memory in the grey mouse lemur (Microcebus murinus).

Authors:  Mia-Lana Lührs; Melanie Dammhahn; Peter M Kappeler; Claudia Fichtel
Journal:  Anim Cogn       Date:  2009-03-05       Impact factor: 3.084

9.  Path planning under spatial uncertainty.

Authors:  Jan M Wiener; Matthieu Lafon; Alain Berthoz
Journal:  Mem Cognit       Date:  2008-04

10.  For humans navigating without vision, navigation depends upon the layout of mechanically contacted ground surfaces.

Authors:  Steven J Harrison; Scott Bonnette; MaryLauren Malone
Journal:  Exp Brain Res       Date:  2020-03-14       Impact factor: 1.972

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