Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms

Dalgaty, Thomas; Payvand, Melika; Moro, Filippo; Ly, Denys R B; Pebay-Peyroula, Florian; Casas, Jerome; Indiveri, Giacomo; Vianello, Elisa

doi:10.1063/1.5108663

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Dalgaty, T., Payvand, M., Moro, F., Ly, D. R. B., Pebay-Peyroula, F., Casas, J., Indiveri, G., & Vianello, E. (2019). Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms. APL Materials, 7(8), 081125. https://doi.org/10.1063/1.5108663

Abstract

Recurrent neural networks are currently subject to intensive research efforts to solve temporal computing problems. Neuromorphic processors (NPs), composed of networked neuron and synapse circuit models, natively compute in time and offer an ultralow power solution particularly suited to emerging temporal edge-computing applications (wearable medical devices, for example). The most significant roadblock to addressing useful problems with neuromorphic hardware is the difficulty in maintaining healthy network dynamics in recurrent neura