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Energy-efficient FPGA spiking neural accelerators with supervised and unsupervised spike-timing-dependent-plasticity
Neuromorphic Computing between Reality and Future Needs
Neuromorphic computing is a one of computer engineering methods that to model their elements as the human brain and nervous system. Many sciences as biology, mathematics, electronic engineering, computer science and physics have been integrated to construct artificial neural systems. In this chapter, the basics of Neuromorphic computing together with existing systems having the materials, devices, and circuits. The last part includes algorithms and applications in some fields