Key aspect of neuromorphic engineering is understanding how the morphology of individual neurons, circuits in addition to overall architectures creates desirable computations, influences how information can be represented, influences robustness to help damage, adapts to help local change, in addition to facilitates evolutionary transform. Neuromorphic engineering is an interdisciplinary subject in which takes inspiration by biology, physics, computer science in addition to electronic engineering to development artificial neural programs.
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