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The grand challenge of neuromorphic computation is to develop a flexible brain-like architecture capable of a wide array of real-time applications, while striving towards the ultra-low power consumption and compact size of the human brain-within the constraints of existing silicon and post-silicon technologies. To this end, we fabricated a key building block of a modular neuromorphic architecture, a neurosynaptic core, with 256 digital integrate-and-fire neurons and a 1024×256 bit SRAM crossbardoi:10.1109/cicc.2011.6055294 dblp:conf/cicc/MerollaAAIMM11 fatcat:vmkaolj4qvgq3dpznuybqdsejy