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  Can fly tangential neurons be used to estimate self-motion?

Franz, M., Neumann, T., Plagge M, Mallot, H., & Zell, A. (1999). Can fly tangential neurons be used to estimate self-motion? In Ninth International Conference on Artificial Neural Networks (ICANN 99) (pp. 994-999). London, UK: Institute of Electrical Engineers.

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 Urheber:
Franz, MO1, Autor           
Neumann, TR2, Autor           
Plagge M, Mallot, HA2, Autor           
Zell, A, Autor
Willshaw A. Murray, D., Herausgeber
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: The so-called tangential neurons in the fly brain are sensitive to the typical optic flow patterns generated during self-motion. This suggests a possible involvement in the self-motion estimation process. In this study, we examine whether a simplified matched filter model of these neurons can be used to estimate self-motion from the optic flow. We present a theory for the construction of an optimal matched filter incorporating both the noise properties of the motion signal, and prior knowledge about the distance distribution of the invironment. Tests on a mobile robot demonstrate that the matched filter approach works for real time camera input and the noisy motion fields computed by Reichardt motion detectors.

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 Datum: 1999-09
 Publikationsstatus: Erschienen
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Titel: Ninth International Conference on Artificial Neural Networks (ICANN 99)
Veranstaltungsort: Edinburgh, UK
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Titel: Ninth International Conference on Artificial Neural Networks (ICANN 99)
Genre der Quelle: Konferenzband
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Ort, Verlag, Ausgabe: London, UK : Institute of Electrical Engineers
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 994 - 999 Identifikator: -