Neuromorphic Engineering: Overview
Neuromorphic engineering is a recent interdisciplinary field involving biologists, physicists, mathematicians, computer scientists, and engineers to design hardware/physical models of neural systems. It aims at designing silicon-based neural systems for computational or biomedical purposes. The term “neuromorphic” relates to the computational architecture, shaped to model biological neural systems: neuromorphic engineering is by essence strongly linked to computational neuroscience.
Neuromorphic engineering offers an interesting alternative to computer simulations of neural networks: while main components of computers are high-precision high-speed digital hardware with high-power dissipation, neural components are slow asynchronous computational elements which use a combination of analog and digital signal representations. Neuromorphic systems are hardware implementations that operate in physical time; they are inspired by the structure, function, and...
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