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Neuromorphic computing is an area of engineering that seeks to emulate the biophysical architecture of our nervous system. Such models can take a variety of forms including hardware chips composed of ‘silicon neurons’, as well as software implementations of neural systems. Artificial neural systems have been previously successfully demonstrated, and are now inspiring a new generation of computing technologies that exploit the physics of computation present in biological neural systems.
This Collection brings together the latest results in the topic of neuromorphic engineering, spanning from the design of artificial neural systems to their experimental realisations.