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Gießen, Germany

Barnett-Cowan M.,Max Planck Institute for Biological Cybernetics | Fleming R.W.,Max Planck Institute for Biological Cybernetics | Fleming R.W.,University of Gieben | Singh M.,Rutgers University | And 2 more authors.

Background: How does the brain estimate object stability? Objects fall over when the gravity-projected centre-of-mass lies outside the point or area of support. To estimate an object's stability visually, the brain must integrate information across the shape and compare its orientation to gravity. When observers lie on their sides, gravity is perceived as tilted toward body orientation, consistent with a representation of gravity derived from multisensory information. We exploited this to test whether vestibular and kinesthetic information affect this visual task or whether the brain estimates object stability solely from visual information. Methodology/Principal Findings: In three body orientations, participants viewed images of objects close to a table edge. We measured the critical angle at which each object appeared equally likely to fall over or right itself. Perceived gravity was measured using the subjective visual vertical. The results show that the perceived critical angle was significantly biased in the same direction as the subjective visual vertical (i.e., towards the multisensory estimate of gravity). Conclusions/Significance: Our results rule out a general explanation that the brain depends solely on visual heuristics and assumptions about object stability. Instead, they suggest that multisensory estimates of gravity govern the perceived stability of objects, resulting in objects appearing more stable than they are when the head is tilted in the same direction in which they fall. © 2011 Barnett-Cowan et al. Source

Spruck B.,University of Gieben | Gebler T.,University of Gieben | Kuhn W.,University of Gieben | Lange J.S.,University of Gieben | And 5 more authors.
IEEE Transactions on Nuclear Science

The upcoming Belle II experiment is designed to work at a luminosity of 8\times 1035 cm-2 s-1 , 40 times higher than its predecessor. The pixel detector of Belle II with its {\sim}8 million channels will deliver ten times more data than all other sub-detectors together. A data rate of 22 Gbytes/s is expected for a trigger rate of 30 kHz and an estimated pixel detector occupancy of 3%, which is by far exceeding the specifications of the Belle II event builder system. Therefore a realtime data reduction of a factor {>} 30 is needed. © 1963-2012 IEEE. Source

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