BRAIN-INSPIRED METHODS FOR ACHIEVING ROBUST COMPUTATION IN HETEROGENEOUS MIXED-SIGNAL NEUROMORPHIC PROCESSING SYSTEMS

Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems

Neuromorphic processing systems implementing spiking neural networks with mixed signal analog/digital electronic circuits and/or memristive 6.5 x 18.5 soccer goal devices represent a promising technology for edge computing applications that require low power, low latency, and that cannot connect to the cloud for off-line processing, either due to l

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