No need for a cognitive map: decentralized memory for insect navigation.

In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing deb...

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Autores principales:	Holk Cruse, Rüdiger Wehner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b4ec9568cdfe4bf9a76669f03624fe56
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id	oai:doaj.org-article:b4ec9568cdfe4bf9a76669f03624fe56
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spelling	oai:doaj.org-article:b4ec9568cdfe4bf9a76669f03624fe562021-11-18T05:50:38ZNo need for a cognitive map: decentralized memory for insect navigation.1553-734X1553-735810.1371/journal.pcbi.1002009https://doaj.org/article/b4ec9568cdfe4bf9a76669f03624fe562011-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21445233/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing debate whether animals in addition are able to acquire and use so called cognitive maps. Such a 'map', a global spatial representation of the foraging area, is generally assumed to allow the animal to find shortcuts between two sites although the direct connection has never been travelled before. Using the artificial neural network approach, here we develop an artificial memory system which is based on path integration and various landmark guidance mechanisms (a bank of individual and independent landmark-defined memory elements). Activation of the individual memory elements depends on a separate motivation network and an, in part, asymmetrical lateral inhibition network. The information concerning the absolute position of the agent is present, but resides in a separate memory that can only be used by the path integration subsystem to control the behaviour, but cannot be used for computational purposes with other memory elements of the system. Thus, in this simulation there is no neural basis of a cognitive map. Nevertheless, an agent controlled by this network is able to accomplish various navigational tasks known from ants and bees and often discussed as being dependent on a cognitive map. For example, map-like behaviour as observed in honey bees arises as an emergent property from a decentralized system. This behaviour thus can be explained without referring to the assumption that a cognitive map, a coherent representation of foraging space, must exist. We hypothesize that the proposed network essentially resides in the mushroom bodies of the insect brain.Holk CruseRüdiger WehnerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 3, p e1002009 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Holk Cruse Rüdiger Wehner No need for a cognitive map: decentralized memory for insect navigation.
description	In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing debate whether animals in addition are able to acquire and use so called cognitive maps. Such a 'map', a global spatial representation of the foraging area, is generally assumed to allow the animal to find shortcuts between two sites although the direct connection has never been travelled before. Using the artificial neural network approach, here we develop an artificial memory system which is based on path integration and various landmark guidance mechanisms (a bank of individual and independent landmark-defined memory elements). Activation of the individual memory elements depends on a separate motivation network and an, in part, asymmetrical lateral inhibition network. The information concerning the absolute position of the agent is present, but resides in a separate memory that can only be used by the path integration subsystem to control the behaviour, but cannot be used for computational purposes with other memory elements of the system. Thus, in this simulation there is no neural basis of a cognitive map. Nevertheless, an agent controlled by this network is able to accomplish various navigational tasks known from ants and bees and often discussed as being dependent on a cognitive map. For example, map-like behaviour as observed in honey bees arises as an emergent property from a decentralized system. This behaviour thus can be explained without referring to the assumption that a cognitive map, a coherent representation of foraging space, must exist. We hypothesize that the proposed network essentially resides in the mushroom bodies of the insect brain.
format	article
author	Holk Cruse Rüdiger Wehner
author_facet	Holk Cruse Rüdiger Wehner
author_sort	Holk Cruse
title	No need for a cognitive map: decentralized memory for insect navigation.
title_short	No need for a cognitive map: decentralized memory for insect navigation.
title_full	No need for a cognitive map: decentralized memory for insect navigation.
title_fullStr	No need for a cognitive map: decentralized memory for insect navigation.
title_full_unstemmed	No need for a cognitive map: decentralized memory for insect navigation.
title_sort	no need for a cognitive map: decentralized memory for insect navigation.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/b4ec9568cdfe4bf9a76669f03624fe56
work_keys_str_mv	AT holkcruse noneedforacognitivemapdecentralizedmemoryforinsectnavigation AT rudigerwehner noneedforacognitivemapdecentralizedmemoryforinsectnavigation
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No need for a cognitive map: decentralized memory for insect navigation.

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