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A case for multiple and parallel RRAMs as synaptic model for training SNNs
As a solution, we propose the use of multiple PCMO-RRAMs in parallel within a synapse.
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation
Second, we develop a computationally efficient (15000 x) and accurate (correlation of 0. 98) method to evaluate the performance of the network without standard recognition tests.
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