Salk researcher provides new view on how the brain functions
Scientists are developing a new paradigm for how the brain functions. They propose that the brain is not a huge fixed network, as had been previously thought, but a dynamic, changing network that adapts continuously to meet the demands of communication and computational needs.
In the Sept. 26 issue of Science, Salk Institute professor Terrence Sejnowski and University of Cambridge professor Simon Laughlin argue that the human brain has evolved to operate as an enormously efficient "hybrid device," capable of making far more sophisticated computations than the most powerful computers, and the long-distance communication systems in brains have been optimized by evolution for energy efficiency.
Robert Bradford | EurekAlert!
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Physicists at the University of Bonn have managed to create optical hollows and more complex patterns into which the light of a Bose-Einstein condensate flows. The creation of such highly low-loss structures for light is a prerequisite for complex light circuits, such as for quantum information processing for a new generation of computers. The researchers are now presenting their results in the journal Nature Photonics.
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A study led by scientists of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science in Hamburg presents evidence of the coexistence of superconductivity and “charge-density-waves” in compounds of the poorly-studied family of bismuthates. This observation opens up new perspectives for a deeper understanding of the phenomenon of high-temperature superconductivity, a topic which is at the core of condensed matter research since more than 30 years. The paper by Nicoletti et al has been published in the PNAS.
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