Abstract:
:Arthropods as well as mammals are able to return straight home after a random search excursion under conditions that are designed to exclude all external cues. After a brief clarification of the terminology, two principal systems of information processing that can achieve this performance are introduced and analysed: Polar versus Cartesian path integration. The different demands and achievements of the two systems are confronted with neurophysiological findings on the functioning of the hippocampus, and with a recent comprehensive model of how the hippocampal place cells perform path integration. To connect the neurophysiological findings with the behavior of the animal, a new model is developed. It achieves three functionally diverse performances: maintenance and control of a compass direction, navigation by path integration, and formation of goals by connecting non-spatial features with their location. This is done by three interconnected feedback loops, set by a common reference variable. Their information-processing structure enables the animal not only to home but also to go straight from any stored goal to any other, without explicit representation of the distance between them, and without a topological arrangement of the store. The model explains behaviors not yet understood and predicts still undiscovered performances. Because it allows the isolation of orienting from storing functions yet also shows how they can be connected, the model may help to reconcile conflicting views on the function of the hippocampus.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Mittelstaedt Hdoi
10.1007/s004220000169keywords:
subject
Has Abstractpub_date
2000-09-01 00:00:00pages
261-70issue
3eissn
0340-1200issn
1432-0770journal_volume
83pub_type
杂志文章abstract::Cortical circuits have been proposed to encode information by forming stable spatially structured attractors. Experimentally in the primary somatosensory cortex of the monkey, temporally invariant stimuli lead to spatially structured activity patterns. The purpose of this work is to study a recurrent cortical neural n...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220050599
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journal_title:Biological cybernetics
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journal_title:Biological cybernetics
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF02414903
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journal_title:Biological cybernetics
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journal_title:Biological cybernetics
pub_type: 历史文章,杂志文章
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journal_title:Biological cybernetics
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journal_title:Biological cybernetics
pub_type: 杂志文章
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00198768
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journal_title:Biological cybernetics
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00355540
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00340074
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-015-0653-7
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journal_title:Biological cybernetics
pub_type: 杂志文章
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journal_title:Biological cybernetics
pub_type: 杂志文章
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journal_title:Biological cybernetics
pub_type: 杂志文章
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journal_title:Biological cybernetics
pub_type: 杂志文章,评审
doi:10.1007/s00422-009-0321-x
更新日期:2009-06-01 00:00:00
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00336190
更新日期:1982-01-01 00:00:00
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-001-0305-y
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00203629
更新日期:1990-01-01 00:00:00
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00199134
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journal_title:Biological cybernetics
pub_type: 杂志文章
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-014-0621-7
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00361040
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journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220050023
更新日期:2000-03-01 00:00:00
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journal_title:Biological cybernetics
pub_type: 杂志文章
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更新日期:2011-07-01 00:00:00
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journal_title:Biological cybernetics
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