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Computational neuroscience
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==Technology== ===Neuromorphic computing=== {{main|Neuromorphic engineering}} A neuromorphic computer/chip is any device that uses physical artificial neurons (made from silicon) to do computations (See: [[neuromorphic computing]], [[physical neural network]]). One of the advantages of using a [[physical model]] computer such as this is that it takes the computational load of the processor (in the sense that the structural and some of the functional elements don't have to be programmed since they are in hardware). In recent times,<ref>{{cite web |last1=Russell |first1=John |title=Beyond von Neumann, Neuromorphic Computing Steadily Advances |date=21 March 2016 |url=https://www.hpcwire.com/2016/03/21/lacking-breakthrough-neuromorphic-computing-steadily-advance/}}</ref> neuromorphic technology has been used to build supercomputers which are used in international neuroscience collaborations. Examples include the [[Human Brain Project]] [[SpiNNaker]] supercomputer and the BrainScaleS computer.<ref>{{Cite journal|last1=Calimera|first1=Andrea|last2=Macii|first2=Enrico |last3=Poncino|first3=Massimo |date=2013-08-20|title=The human brain project and neuromorphic computing|journal=Functional Neurology|volume=28|issue=3 |pages=191β196 | doi=10.11138/FNeur/2013.28.3.191|doi-broken-date=1 November 2024 |pmid=24139655 |pmc=3812737 }}</ref>
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