How evolution shapes the geometries of life

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Why does a mouse’s heart beat about the same number of times in its lifetime as an elephant’s, although the mouse lives about a year, while an elephant sees 70 winters come and go? Why do small plants and animals mature faster than large ones? Why has nature chosen such radically different forms as the loose-limbed beauty of a flowering tree and the fearful symmetry of a tiger?These questions have puzzled life scientists since ancient times. Now an interdisciplinary team of researchers from the University of Maryland and the University of Padua in Italy propose a thought-provoking answer based on a famous mathematical formula that has been accepted as true for generations, but never fully understood. In a paper published the week of Feb. 17, 2014 in the Proceedings of the National Academy of Sciences, the team offers a re-thinking of the formula known as Kleiber’s Law. Seeing this formula as a mathematical expression of an evolutionary fact, the team suggests that plants’ and animals’ widely different forms evolved in parallel, as ideal ways to solve the problem of how to use energy efficiently.If you studied biology in high school or college, odds are you memorized Kleiber’s Law: metabolism equals mass to the three-quarter power. This formula, one of the few widely held tenets in biology, shows that as living things get larger, their metabolisms and their life spans increase at predictable rates. Named after the Swiss biologist Max Kleiber who formulated it in the 1930s, the law fits observations on everything from animals’ energy intake to the number of young they bear. It’s used to calculate the correct human dosage of a medicine tested on mice, among many other things.But why does Kleiber’s Law hold true? …


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#Alzheimer, #Evolution, #Phenomena, #Physics, #Plant, #Plants, #Result, #Sciences, #Space, #Switzerland, #Team, #Tree

Thinking it through: Scientists seek to unlock mysteries of the brain

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Understanding the human brain is one of the greatest challenges facing 21st century science. If we can rise to this challenge, we will gain profound insights into what makes us human, develop new treatments for brain diseases, and build revolutionary new computing technologies that will have far reaching effects, not only in neuroscience.Scientists at the European Human Brain Project — set to announce more than a dozen new research partnerships worth Eur 8.3 million in funding later this month — the Allen Institute for Brain Science, and the US BRAIN Initiative are developing new paradigms for understanding how the human brain works in health and disease. Today, their international and collaborative projects are defined, explored, and compared during “Inventing New Ways to Understand the Human Brain,” at the 2014 AAAS Annual Meeting in Chicago.Brain Simulation, Big Data, and a New Computing ParadigmHenry Markram from the Ecole Polytechnique Fdrale de Lausanne (EPFL), in Switzerland, where the Human Brain Project is based, describes how the project will leverage available experimental data and basic principles of brain organization to reconstruct the detailed structure of the brain in computer models. The models will allow the HBP to run super-computer based simulations of the inner working of the brain.”Brain simulation allows measurements and manipulations impossible in the lab, opening the road to a new kind of in silico experimentation,” Markram says.The data deluge in neuroscience is resulting in a revolutionary amount of brain data with new initiatives planning to acquire even more. But searching, accessing, and analyzing this data remains a key challenge.Sean Hill, also of EPFL and a speaker at AAAS, leads The Neuroinformatics Platform of the Human Brain Project (HBP). In this scientific panel, he explains how the platform will provide tools to manage, navigate, and annotate spatially referenced brain atlases, which will form the basis for the HBP’s modeling effort — turning Big Data into deep knowledge.The Neuroinformatics Platform will bring together many different kinds of data. University of Edinburgh’s Seth Grant, a key member of the HBP, describes how he is deriving new methods to decode the molecular principles underlying the brain’s organization, such as how individual proteins assemble into larger complexes. As Grant explains in Chicago, this has important practical applications as many mutations in schizophrenia and autism converge on these so-called supercomplexes in the brain.As we understand more and more about the way the brain computes we can apply this knowledge to technology. Karlheinz Meier, of Heidelberg University in Germany and a speaker at AAAS, outlines how he is working to create entirely new computing systems as part of the HBP. These Neuromorphic Computing Systems will merge realistic brain models with new hardware for a completely new paradigm of computing — one that more closely resembles how the brain itself processes information.”The brain has the ability to efficiently perform computations that are impossible even for the most powerful computers while consuming only 30 Watts of power,” Meier says.Brain: Get Ready For Your Close-upAt AAAS, Christof Koch lays out another ambitious, 10-year plan from the Allen Institute for Brain Science: to understand the structure and function of the brain by mapping cell types from mice and humans with computer simulations and figuring out how the cells connect, and how they encode, relay, and process information. …


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#Allen, #Alternative-Medicine, #Computing, #European, #Hbp, #Health, #Institute, #Neuroinformatics, #Science, #Switzerland