Literature DB >> 30728234

The internal maps of insects.

Barbara Webb1.   

Abstract

Insect navigation is strikingly geometric. Many species use path integration to maintain an accurate estimate of their distance and direction (a vector) to their nest and can store the vector information for multiple salient locations in the world, such as food sources, in a common coordinate system. Insects can also use remembered views of the terrain around salient locations or along travelled routes to guide return, which is a fundamentally geometric process. Recent modelling of these abilities shows convergence on a small set of algorithms and assumptions that appear sufficient to account for a wide range of behavioural data. Notably, this 'base model' does not include any significant topological knowledge: the insect does not need to recover the information (implicit in their vector memory) about the relationships between salient places; nor to maintain any connectedness or ordering information between view memories; nor to form any associations between views and vectors. However, there remains some experimental evidence not fully explained by this base model that may point towards the existence of a more complex or integrated mental map in insects.
© 2019. Published by The Company of Biologists Ltd.

Keywords:  Ants; Bees; Navigation; Path integration; Vector; View

Mesh:

Year:  2019        PMID: 30728234     DOI: 10.1242/jeb.188094

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


  8 in total

1.  Effect of large visual changes on the navigation of the nocturnal bull ant, Myrmecia midas.

Authors:  Muzahid Islam; Cody A Freas; Ken Cheng
Journal:  Anim Cogn       Date:  2020-04-08       Impact factor: 3.084

2.  What view information is most important in the homeward navigation of an Australian bull ant, Myrmecia midas?

Authors:  Muzahid Islam; Sudhakar Deeti; Trevor Murray; Ken Cheng
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2022-09-01       Impact factor: 2.389

3.  Autonomous Flying With Neuromorphic Sensing.

Authors:  Patricia P Parlevliet; Andrey Kanaev; Chou P Hung; Andreas Schweiger; Frederick D Gregory; Ryad Benosman; Guido C H E de Croon; Yoram Gutfreund; Chung-Chuan Lo; Cynthia F Moss
Journal:  Front Neurosci       Date:  2021-05-14       Impact factor: 4.677

4.  A decentralised neural model explaining optimal integration of navigational strategies in insects.

Authors:  Xuelong Sun; Shigang Yue; Michael Mangan
Journal:  Elife       Date:  2020-06-26       Impact factor: 8.140

5.  A unified mechanism for innate and learned visual landmark guidance in the insect central complex.

Authors:  Roman Goulard; Cornelia Buehlmann; Jeremy E Niven; Paul Graham; Barbara Webb
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

6.  Visually guided homing of bumblebees in ambiguous situations: A behavioural and modelling study.

Authors:  Charlotte Doussot; Olivier J N Bertrand; Martin Egelhaaf
Journal:  PLoS Comput Biol       Date:  2020-10-13       Impact factor: 4.475

Review 7.  Arthropod spatial cognition.

Authors:  Sarah Pfeffer; Harald Wolf
Journal:  Anim Cogn       Date:  2020-11-10       Impact factor: 3.084

8.  Minding the gap: learning and visual scanning behaviour in nocturnal bull ants.

Authors:  Muzahid Islam; Sudhakar Deeti; J Frances Kamhi; Ken Cheng
Journal:  J Exp Biol       Date:  2021-07-19       Impact factor: 3.312

  8 in total

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