When you look at a picture, your brain has to put together lines, patterns and shapes to make a meaningful scene. New research by neuroscientists at the University of California, Davis and the University of Minnesota shows that higher regions of the brain can quickly recognize patterns and shapes and tell lower areas of the brain to stop processing the information. The finding confirms predictions from computer models and helps explain how the human brain makes sense of what the eyes see.
Scott Murray, Bruno Olshausen and David Woods from UC Davis and the VA Medical Center in Martinez, with Daniel Kersten and Paul Schrater from the University of Minnesota, Twin Cities, used functional magnetic resonance imaging (fMRI) to see which parts of the brain were active as subjects looked at different patterns and shapes.
Current theories hold that a lower area of the brain called the primary visual cortex responds to simple features such as edges and lines and passes this information on to higher, pattern-recognizing parts of the brain.
Andy Fell | EurekAlert!
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A team of scientists of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science in Hamburg investigated optically-induced superconductivity in the alkali-doped fulleride K3C60under high external pressures. This study allowed, on one hand, to uniquely assess the nature of the transient state as a superconducting phase. In addition, it unveiled the possibility to induce superconductivity in K3C60 at temperatures far above the -170 degrees Celsius hypothesized previously, and rather all the way to room temperature. The paper by Cantaluppi et al has been published in Nature Physics.
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