DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays

A life in electrical engineering, glancing at biology

S Conti, E Vianello - Nature Reviews Electrical Engineering, 2024 - nature.com
Evolution and interdisciplinarity are key words for Elisa Vianello, senior scientist and Edge
AI program coordinator at CEA-Leti, who talks to Nature Reviews Electrical Engineering …
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[PDF] arxiv.org

Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware

M Cotteret, H Greatorex, A Renner, J Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Programming recurrent spiking neural networks (RSNNs) to robustly perform multi-timescale
computation remains a difficult challenge. To address this, we show how the distributed …
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[PDF] arxiv.org

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights

J Göltz, J Weber, L Kriener, P Lake, M Payvand… - arXiv preprint arXiv …, 2024 - arxiv.org
Spiking neural networks (SNNs) inherently rely on the timing of signals for representing and
processing information. Transmission delays play an important role in shaping these …
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[PDF] medrxiv.org

Tiny dLIF: A Dendritic Spiking Neural Network Enabling a Time-Domain Energy-Efficient Seizure Detection System.

LF Herbozo Contreras Sr, L Yu Sr, Z Huang Sr… - medRxiv, 2024 - medrxiv.org
Epilepsy poses a significant global health challenge, driving the need for reliable diagnostic
tools like scalp electroencephalogram (EEG), subscalp EEG, and intracranial EEG (iEEG) for …
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