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Université de Fribourg

Regular physical activity modulates perceived visual speed when running in treadmill-mediated virtual environments

Caramenti, Martina ; Lafortuna, Claudio L. ; Mugellini, Elena ; Khaled, Omar Abou ; Bresciani, Jean-Pierre ; Dubois, Amandine

In: PLOS ONE, 2019, vol. 14, no. 6, p. e0219017

In virtual reality, visual speed is usually underestimated relative to locomotor speed. Here we investigated how physical activity and fitness affect perceived visual speed when running in a treadmill-mediated virtual environment. Thirty healthy participants (ten sedentary individuals, ten team sport players and ten expert runners) ran on a treadmill at two different speeds (8, 12km/h) in...

Université de Fribourg

Matching optical flow to motor speed in virtual reality while running on a treadmill

Caramenti, Martina ; Lafortuna, Claudio L. ; Mugellini, Elena ; Abou Khaled, Omar ; Bresciani, Jean-Pierre ; Dubois, Amandine

In: PLOS ONE, 2018, vol. 13, no. 4, p. e0195781

We investigated how visual and kinaesthetic/efferent information is integrated for speed perception in running. Twelve moderately trained to trained subjects ran on a treadmill at three different speeds (8, 10, 12 km/h) in front of a moving virtual scene. They were asked to match the visual speed of the scene to their running speed–i.e., treadmill’s speed. For each trial, participants...

Consortium of Swiss Academic Libraries

Active Integrated Tracking Detectors for MRI-Guided Interventions

Anders, J. ; Ortmanns, M. ; Scheffler, K. ; Boero, G.

In: Biomedical Engineering / Biomedizinische Technik, 2012, vol. 57, no. SI-1 Track-C, p. 907-907

Consortium of Swiss Academic Libraries

Neural correlates of action perception at the onset of functional grasping

Bakker, Marta ; Daum, Moritz M. ; Handl, Andrea ; Gredebäck, Gustaf

In: Social Cognitive and Affective Neuroscience, 2015, vol. 10, no. 6, p. 769-776

Université de Fribourg

Asymmetric saccade reaction times to smooth pursuit

Bieg, Hans-Joachim ; Chuang, Lewis L. ; Bülthoff, Heinrich H. ; Bresciani, Jean-Pierre

In: Experimental Brain Research, 2015, vol. 233, no. 9, p. 2527–2538

Before initiating a saccade to a moving target, the brain must take into account the target’s eccentricity as well as its movement direction and speed. We tested how the kinematic characteristics of the target influence the time course of this oculomotor response. Participants performed a step-ramp task in which the target object stepped from a central to an eccentric position and moved at...

Université de Fribourg

Saccade reaction time asymmetries during task-switching in pursuit tracking

Bieg, Hans-Joachim ; Bresciani, Jean-Pierre ; Bülthoff, Heinrich H. ; Chuang, Lewis L.

In: Experimental Brain Research, 2013, vol. 230, no. 3, p. 271–281

We investigate how smooth pursuit eye movements affect the latencies of task-switching saccades. Participants had to alternate their foveal vision between a continuous pursuit task in the display center and a discrete object discrimination task in the periphery. The pursuit task was either carried out by following the target with the eyes only (ocular) or by steering an on-screen cursor with a...

Université de Fribourg

Looking for discriminating is different from looking for looking’s sake

Bieg, Hans-Joachim ; Bresciani, Jean-Pierre ; Bülthoff, Heinrich H. ; Chuang, Lewis L.

In: PLoS ONE, 2012, vol. 7, no. 9, p. e45445

Recent studies provide evidence for task-specific influences on saccadic eye movements. For instance, saccades exhibit higher peak velocity when the task requires coordinating eye and hand movements. The current study shows that the need to process task-relevant visual information at the saccade endpoint can be, in itself, sufficient to cause such effects. In this study, participants performed a...

Université de Fribourg

Temporal kernel CCA and its application in multimodal neuronal data analysis

Bießmann, Felix ; Meinecke, Contact Information, Frank C. ; Gretton, Contact Information, Arthur ; Rauch, Alexander ; Rainer, Gregor ; Logothetis, Nikos K. ; Müller, Klaus-Robert

In: Machine Learning, 2010, vol. 79, no. 1-2, p. 5-27

Data recorded from multiple sources sometimes exhibit non-instantaneous couplings. For simple data sets, cross-correlograms may reveal the coupling dynamics. But when dealing with high-dimensional multivariate data there is no such measure as the cross-correlogram. We propose a simple algorithm based on Kernel Canonical Correlation Analysis (kCCA) that computes a multivariate temporal filter...