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An integrated model of fixational eye movements and microsaccades

  • When we fixate a stationary target, our eyes generate miniature (or fixational) eye movements involuntarily. These fixational eye movements are classified as slow components (physiological drift, tremor) and microsaccades, which represent rapid, small-amplitude movements. Here we propose an integrated mathematical model for the generation of slow fixational eye movements and microsaccades. The model is based on the concept of self-avoiding random walks in a potential, a process driven by a self-generated activation field. The self-avoiding walk generates persistent movements on a short timescale, whereas, on a longer timescale, the potential produces antipersistent motions that keep the eye close to an intended fixation position. We introduce microsaccades as fast movements triggered by critical activation values. As a consequence, both slow movements and microsaccades follow the same law of motion; i.e., movements are driven by the self-generated activation field. Thus, the model contributes a unified explanation of why it has been aWhen we fixate a stationary target, our eyes generate miniature (or fixational) eye movements involuntarily. These fixational eye movements are classified as slow components (physiological drift, tremor) and microsaccades, which represent rapid, small-amplitude movements. Here we propose an integrated mathematical model for the generation of slow fixational eye movements and microsaccades. The model is based on the concept of self-avoiding random walks in a potential, a process driven by a self-generated activation field. The self-avoiding walk generates persistent movements on a short timescale, whereas, on a longer timescale, the potential produces antipersistent motions that keep the eye close to an intended fixation position. We introduce microsaccades as fast movements triggered by critical activation values. As a consequence, both slow movements and microsaccades follow the same law of motion; i.e., movements are driven by the self-generated activation field. Thus, the model contributes a unified explanation of why it has been a long-standing problem to separate slow movements and microsaccades with respect to their motion-generating principles. We conclude that the concept of a self-avoiding random walk captures fundamental properties of fixational eye movements and provides a coherent theoretical framework for two physiologically distinct movement types.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Ralf EngbertORCiDGND, Konstantin Mergenthaler, Petra Sinn, Arkadij PikovskijORCiDGND
DOI:https://doi.org/10.1073/pnas.1102730108
ISSN:0027-8424
Titel des übergeordneten Werks (Englisch):Proceedings of the National Academy of Sciences of the United States of America
Verlag:National Acad. of Sciences
Verlagsort:Washington
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2011
Erscheinungsjahr:2011
Datum der Freischaltung:26.03.2017
Band:108
Ausgabe:39
Seitenanzahl:6
Erste Seite:E765
Letzte Seite:E770
Fördernde Institution:Deutsche Forschungsgemeinschaft Research Group 868 [EN 471/3]
Organisationseinheiten:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
Peer Review:Referiert
Name der Einrichtung zum Zeitpunkt der Publikation:Humanwissenschaftliche Fakultät / Institut für Psychologie
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