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IEDM Tutorial: Electronic Circuits and Architectures for Neuromorphic Computing Platforms by Prof. Giacomo Indiveri, Univ. of Zurich and ETH Zurich This tutorial will cover the principles and origins of neuromorphic (i.e., brain-inspired) engineering, examples of neuromorphic circuits, how neural network architectures can be used to build large-scale multi-core neuromorphic processors, and some specific application areas wellsuited for neuromorphic computing technologies. At left above are detailed biophysical models of cortical circuits derived from neuroscience experiments. In the middle, these neural networks are simulated in software using realistic models of spiking neurons and dynamic synapses, then they are mapped into mixed analogdigital circuits, and integrated in large numbers on VLSI chips. Digital input spikes derived from event-based sensors are integrated by synaptic circuits on the VLSI chips. These drive targeted post-synaptic silicon neurons, which in turn integrate spatial inputs and generate action potentials. Spikes of multiple neurons are transmitted off-chip using asynchronous digital circuits, to eventually control autonomous-behaving systems in real-time. Source: G. Indiveri, U. Zurich.