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A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
Artificial neural networks rely on vector-matrix multiplications (VMMs), whose implementation in von Neumann architectures is dominated by costly data movement between memory and processing units. Spiking neural networks (SNNs) mitigate this bottleneck by performing in-memory, analog VMMs using memr
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