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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.NE2020
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Sandro Baumgartner, Alpha Renner, Raphaela Kreiser +3
We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn simple visual patterns co…
cs.NE2019
Event-based attention and tracking on neuromorphic hardware
Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya
We present a fully event-driven vision and processing system for selective attention and tracking, realized on a neuromorphic processor Loihi interfaced to an event-based Dynamic V…