Literature DB >> 21927849

Route selection by rats and humans in a navigational traveling salesman problem.

Rachel E Blaser1, Rachel R Ginchansky.   

Abstract

Spatial cognition is typically examined in non-human animals from the perspective of learning and memory. For this reason, spatial tasks are often constrained by the time necessary for training or the capacity of the animal's short-term memory. A spatial task with limited learning and memory demands could allow for more efficient study of some aspects of spatial cognition. The traveling salesman problem (TSP), used to study human visuospatial problem solving, is a simple task with modifiable learning and memory requirements. In the current study, humans and rats were characterized in a navigational version of the TSP. Subjects visited each of 10 baited targets in any sequence from a set starting location. Unlike similar experiments, the roles of learning and memory were purposely minimized; all targets were perceptually available, no distracters were used, and each configuration was tested only once. The task yielded a variety of behavioral measures, including target revisits and omissions, route length, and frequency of transitions between each pair of targets. Both humans and rats consistently chose routes that were more efficient than chance, but less efficient than optimal, and generally less efficient than routes produced by the nearest-neighbor strategy. We conclude that the TSP is a useful and flexible task for the study of spatial cognition in human and non-human animals.

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Year:  2011        PMID: 21927849     DOI: 10.1007/s10071-011-0449-7

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  9 in total

1.  A comparison of human performance in figural and navigational versions of the traveling salesman problem.

Authors:  R E Blaser; Julie Wilber
Journal:  Psychol Res       Date:  2012-12-25

2.  Captive chimpanzee foraging in a social setting: a test of problem solving, flexibility, and spatial discounting.

Authors:  Lydia M Hopper; Laura M Kurtycz; Stephen R Ross; Kristin E Bonnie
Journal:  PeerJ       Date:  2015-03-17       Impact factor: 2.984

3.  A heuristic underlies the search for relief in Drosophila melanogaster.

Authors:  Nicola Meda; Giulio Maria Menti; Aram Megighian; Mauro Agostino Zordan
Journal:  Ann N Y Acad Sci       Date:  2021-12-20       Impact factor: 6.499

4.  The Traveling Salesman Problem (TSP): A Spatial Navigation Task for Rats.

Authors:  R E Blaser
Journal:  Bio Protoc       Date:  2018-06-05

5.  Radar tracking and motion-sensitive cameras on flowers reveal the development of pollinator multi-destination routes over large spatial scales.

Authors:  Mathieu Lihoreau; Nigel E Raine; Andrew M Reynolds; Ralph J Stelzer; Ka S Lim; Alan D Smith; Juliet L Osborne; Lars Chittka
Journal:  PLoS Biol       Date:  2012-09-20       Impact factor: 8.029

6.  A simple iterative model accurately captures complex trapline formation by bumblebees across spatial scales and flower arrangements.

Authors:  Andrew M Reynolds; Mathieu Lihoreau; Lars Chittka
Journal:  PLoS Comput Biol       Date:  2013-03-07       Impact factor: 4.475

7.  Vervet monkeys use paths consistent with context-specific spatial movement heuristics.

Authors:  Julie A Teichroeb
Journal:  Ecol Evol       Date:  2015-10-05       Impact factor: 2.912

8.  Many Paths to the Same Goal: Balancing Exploration and Exploitation during Probabilistic Route Planning.

Authors:  Brian J Jackson; Gusti Lulu Fatima; Sujean Oh; David H Gire
Journal:  eNeuro       Date:  2020-06-12

9.  Hummingbirds modify their routes to avoid a poor location.

Authors:  Maria C Tello-Ramos; T Andrew Hurly; Mabel Barclay; Susan D Healy
Journal:  Learn Behav       Date:  2021-08-02       Impact factor: 1.986

  9 in total

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