activity
20172024
most citedA neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation

97 citations · 160 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.NE2024

Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons

Gauthier Boeshertz, Giacomo Indiveri, Manu Nair +1

Thanks to their parallel and sparse activity features, recurrent neural networks (RNNs) are well-suited for hardware implementation in low-power neuromorphic hardware. However, map…

cs.NE2019★ 1 cited

Mapping high-performance RNNs to in-memory neuromorphic chips

Manu V Nair, Giacomo Indiveri

The increasing need for compact and low-power computing solutions for machine learning applications has triggered significant interest in energy-efficient neuromorphic systems. How…