Functional Logic of a Cognitive Brain System for Navigation.

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Title: Functional Logic of a Cognitive Brain System for Navigation.
Authors: Maimon, Gaby (AUTHOR), Abbott, L.F. (AUTHOR)
Source: Annual Review of Neuroscience. Jul2026, Vol. 49 Issue 1, p411-434. 21p.
Subjects: Navigation, Drosophila, Vector calculus, Algorithms, Cognitive neuroscience, Neural circuitry, Computational neuroscience
Abstract: It is unusual for cognitive neuroscientists to reach consensus around which computations a brain region implements, what algorithms are used to achieve those computations and how the algorithms are implemented by cells and circuits (i.e., Marr's three levels of analysis). Over the past decade, there has been notable progress in delineating such a unified functional understanding in the Drosophila central complex. In this review, we summarize how the central complex operates as a computational device that calculates the values of angles and two-dimensional vectors important for navigational behavior. Appreciating how these insights were made in Drosophila suggests a roadmap for reaching a similar level of understanding in larger brains. [ABSTRACT FROM AUTHOR]
Copyright of Annual Review of Neuroscience is the property of Annual Reviews Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Functional Logic of a Cognitive Brain System for Navigation.
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  Data: <searchLink fieldCode="AR" term="%22Maimon%2C+Gaby%22">Maimon, Gaby</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abbott%2C+L%2EF%2E%22">Abbott, L.F.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Navigation%22">Navigation</searchLink><br /><searchLink fieldCode="DE" term="%22Drosophila%22">Drosophila</searchLink><br /><searchLink fieldCode="DE" term="%22Vector+calculus%22">Vector calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+neuroscience%22">Cognitive neuroscience</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+circuitry%22">Neural circuitry</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+neuroscience%22">Computational neuroscience</searchLink>
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  Data: It is unusual for cognitive neuroscientists to reach consensus around which computations a brain region implements, what algorithms are used to achieve those computations and how the algorithms are implemented by cells and circuits (i.e., Marr's three levels of analysis). Over the past decade, there has been notable progress in delineating such a unified functional understanding in the Drosophila central complex. In this review, we summarize how the central complex operates as a computational device that calculates the values of angles and two-dimensional vectors important for navigational behavior. Appreciating how these insights were made in Drosophila suggests a roadmap for reaching a similar level of understanding in larger brains. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Annual Review of Neuroscience is the property of Annual Reviews Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1146/annurev-neuro-112723-062711
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 411
    Subjects:
      – SubjectFull: Navigation
        Type: general
      – SubjectFull: Drosophila
        Type: general
      – SubjectFull: Vector calculus
        Type: general
      – SubjectFull: Algorithms
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      – SubjectFull: Cognitive neuroscience
        Type: general
      – SubjectFull: Neural circuitry
        Type: general
      – SubjectFull: Computational neuroscience
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      – TitleFull: Functional Logic of a Cognitive Brain System for Navigation.
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            NameFull: Maimon, Gaby
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              Text: Jul2026
              Type: published
              Y: 2026
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