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Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Deep spiking neural networks (SNNs) are promising neural networks for their model capacity from deep neural network architecture and energy efficiency from SNNs' operations.
Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing
The proposed computing architecture is based on a uniform, physical, resistive, memory-centric fabric that can be optimally reconfigured and utilized to perform different computing and data storage tasks in a massively parallel approach.
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