Authors: George Rajna
In an international collaboration with IBM Research, the University of Oxford and the International Iberian Nanotechnology Laboratory, QNS scientists used advanced and novel techniques to measure the nuclear spin of individual atoms on surfaces for the first time.  A team of scientists led by Professor Richard Layfield at the University of Sussex has published breakthrough research in molecule-based magnetic information storage materials.  Just like their biological counterparts, hardware that mimics the neural circuitry of the brain requires building blocks that can adjust how they synapse, with some connections strengthening at the expense of others.  Faster and more compact memory storage devices will become a reality when physicists gain precise control of the spins of electrons.  UCLA biologists report they have transferred a memory from one marine snail to another, creating an artificial memory, by injecting RNA from one to another.  Scientists at the Wellcome Trust/ Cancer Research UK Gurdon Institute, University of Cambridge, have identified a new type of stem cell in the brain which they say has a high potential for repair following brain injury or disease.  A team of researchers working at the Weizmann Institute of Science has found that organoids can be used to better understand how the human brain wrinkles as it develops.  A team of biologists has found an unexpected source for the brain's development, a finding that offers new insights into the building of the nervous system.  Researchers discover both the structure of specific brain areas and memory are linked to genetic activity that also play important roles in immune system function.  The inner workings of the human brain have always been a subject of great interest. Unfortunately, it is fairly difficult to view brain structures or intricate tissues due to the fact that the skull is not transparent by design.  But now there is a technology that enables us to "read the mind" with growing accuracy: functional magnetic resonance imaging (fMRI). 
Comments: 52 Pages.
[v1] 2018-10-19 04:14:42
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