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papersSEP 12 04:00 UTC

Time-Based Readout Method for Analog Memristive Spiking Neural Networks

A new arXiv paper proposes a time-based readout scheme for vector-matrix multiplication in fully analog memristive spiking neural networks. Standard digital hardware performs these operations inefficiently because moving data between memory and processing units dominates cost and energy use. The approach aims to keep computation in the analog memory array, addressing the data-movement bottleneck that spiking networks are meant to reduce.

arXiv data-movement-bottleneck in-memory-computing memristive-spiking-neural-networks spiking neural networks vector-matrix-multiplication

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arXiv cs.AIA Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs ↗SEP 12 04:00 UTC