Dr. Sven Ohl

Dr. Sven Ohl erforscht, wie Augenbewegungen und Wahrnehmung zusammenhängen – insbesondere wie schnelle Augenbewegungen (Sakkaden) und Verfolgungsbewegungen unser visuelles Gedächtnis beeinflussen und wie wir Kausalität in visuellen Szenen erkennen. Seine aktuelle Arbeit konzentriert sich darauf, welche Rolle Bewegungsintention bei der bewussten Wahrnehmung von Augenbewegungen spielt und wie das visuelle System Ursache-Wirkungs-Beziehungen zwischen Objekten detektiert. Für Unternehmen relevant ist dies bei der Entwicklung von Eye-Tracking-Systemen, Virtual-Reality-Anwendungen und Mensch-Computer-Schnittstellen, wo präzises Verständnis von Augenbewegung und visueller Aufmerksamkeit entscheidend ist. Er hat zudem ein Open-Source-Toolbox (EDIA) für VR-basierte Eye-Tracking-Forschung entwickelt, die Forschenden und Entwicklern standardisierte Methoden bereitstellt.

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• Die Aktualisierung visueller Gedächtnisinhalte bei Bewegungen

  Quelle ↗

  Förderer: DFG Eigene Stelle (Sachbeihilfe) Zeitraum: 10/2019 - 05/2023 Projektleitung: Dr. Sven Ohl, Prof. Dr. phil. Martin Rolfs

• Sehen und Gedächtnis bei Handlungen

  Quelle ↗

  Förderer: DFG Heisenberg Programm Zeitraum: 04/2024 - 04/2027 Projektleitung: Dr. Sven Ohl

• Die Elemente der kausalen Wahrnehmung

  Quelle ↗

  Förderer: DFG Sachbeihilfe Zeitraum: 05/2024 - 04/2027 Projektleitung: Dr. Sven Ohl

• Active information sampling varies across the cardiac cycle

  2019

  Psychophysiology · DOI

  Perception and cognition oscillate with fluctuating bodily states. For example, visual processing has been shown to change with alternating cardiac phases. Here, we study the heartbeat's role for active information sampling-testing whether humans implicitly act upon their environment so that relevant signals appear during preferred cardiac phases. During the encoding period of a visual memory experiment, participants clicked through a set of emotional pictures to memorize them for a later recognition test. By self-paced key press, they actively prompted the onset of short (100 ms) presented pictures. Simultaneously recorded electrocardiograms allowed us to analyze the self-initiated picture onsets relative to the heartbeat. We find that self-initiated picture onsets vary across the cardiac cycle, showing an increase during cardiac systole, while memory performance was not affected by the heartbeat. We conclude that active information sampling integrates heart-related signals, thereby extending previous findings on the association between body-brain interactions and behavior.

• Microsaccades Are Coupled to Heartbeat

  2016

  Journal of Neuroscience · DOI

  During visual fixation, the eye generates microsaccades and slower components of fixational eye movements that are part of the visual processing strategy in humans. Here, we show that ongoing heartbeat is coupled to temporal rate variations in the generation of microsaccades. Using coregistration of eye recording and ECG in humans, we tested the hypothesis that microsaccade onsets are coupled to the relative phase of the R-R intervals in heartbeats. We observed significantly more microsaccades during the early phase after the R peak in the ECG. This form of coupling between heartbeat and eye movements was substantiated by the additional finding of a coupling between heart phase and motion activity in slow fixational eye movements; i.e., retinal image slip caused by physiological drift. Our findings therefore demonstrate a coupling of the oculomotor system and ongoing heartbeat, which provides further evidence for bodily influences on visuomotor functioning. SIGNIFICANCE STATEMENT: In the present study, we show that microsaccades are coupled to heartbeat. Moreover, we revealed a strong modulation of slow eye movements around the R peak in the ECG. These results suggest that heartbeat as a basic physiological signal is related to statistical modulations of fixational eye movements, in particular, the generation of microsaccades. Therefore, our findings add a new perspective on the principles underlying the generation of fixational eye movements. Importantly, our study highlights the need to record eye movements when studying the influence of heartbeat in neuroscience to avoid misinterpretation of eye-movement-related artifacts as heart-evoked modulations of neural processing.