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      Modelling: Build imprecise supercomputers

      Nature
      Springer Science and Business Media LLC

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          I.—COMPUTING MACHINERY AND INTELLIGENCE

          A Turing (1950)
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            The benefits of noise in neural systems: bridging theory and experiment.

            Although typically assumed to degrade performance, random fluctuations, or noise, can sometimes improve information processing in non-linear systems. One such form of 'stochastic facilitation', stochastic resonance, has been observed to enhance processing both in theoretical models of neural systems and in experimental neuroscience. However, the two approaches have yet to be fully reconciled. Understanding the diverse roles of noise in neural computation will require the design of experiments based on new theory and models, into which biologically appropriate experimental detail feeds back at various levels of abstraction.
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              Missing iris effect as a possible cause of muted hydrological change and high climate sensitivity in models

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                Author and article information

                Journal
                Nature
                Nature
                Springer Science and Business Media LLC
                0028-0836
                1476-4687
                October 2015
                September 29 2015
                October 2015
                : 526
                : 7571
                : 32-33
                Article
                10.1038/526032a
                26432226
                80d95c06-f9f2-42da-a344-42b8f087430f
                © 2015

                http://www.springer.com/tdm

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