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A self-avoiding walk with neural delays as a model of fixational eye movements

  • Fixational eye movements show scaling behaviour of the positional mean-squared displacement with a characteristic transition from persistence to antipersistence for increasing time-lag. These statistical patterns were found to be mainly shaped by microsaccades (fast, small-amplitude movements). However, our re-analysis of fixational eye-movement data provides evidence that the slow component (physiological drift) of the eyes exhibits scaling behaviour of the mean-squared displacement that varies across human participants. These results suggest that drift is a correlated movement that interacts with microsaccades. Moreover, on the long time scale, the mean-squared displacement of the drift shows oscillations, which is also present in the displacement auto-correlation function. This finding lends support to the presence of time-delayed feedback in the control of drift movements. Based on an earlier non-linear delayed feedback model of fixational eye movements, we propose and discuss different versions of a new model that combines aFixational eye movements show scaling behaviour of the positional mean-squared displacement with a characteristic transition from persistence to antipersistence for increasing time-lag. These statistical patterns were found to be mainly shaped by microsaccades (fast, small-amplitude movements). However, our re-analysis of fixational eye-movement data provides evidence that the slow component (physiological drift) of the eyes exhibits scaling behaviour of the mean-squared displacement that varies across human participants. These results suggest that drift is a correlated movement that interacts with microsaccades. Moreover, on the long time scale, the mean-squared displacement of the drift shows oscillations, which is also present in the displacement auto-correlation function. This finding lends support to the presence of time-delayed feedback in the control of drift movements. Based on an earlier non-linear delayed feedback model of fixational eye movements, we propose and discuss different versions of a new model that combines a self-avoiding walk with time delay. As a result, we identify a model that reproduces oscillatory correlation functions, the transition from persistence to antipersistence, and microsaccades.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Carl J. J. Herrmann, Ralf MetzlerORCiDGND, Ralf EngbertORCiDGND
DOI:https://doi.org/10.1038/s41598-017-13489-8
ISSN:2045-2322
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/29021548
Titel des übergeordneten Werks (Englisch):Scientific reports
Verlag:Nature Publ. Group
Verlagsort:London
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2017
Erscheinungsjahr:2017
Datum der Freischaltung:20.04.2020
Band:7
Seitenanzahl:17
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer Review:Referiert
Name der Einrichtung zum Zeitpunkt der Publikation:Humanwissenschaftliche Fakultät / Exzellenzbereich Kognitionswissenschaften
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