Publication: An error-propagation spiking neural network compatible with neuromorphic processors
An error-propagation spiking neural network compatible with neuromorphic processors
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Cartiglia, M., Haessig, G., & Indiveri, G. (2020, September 2). An error-propagation spiking neural network compatible with neuromorphic processors. 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Genova. https://doi.org/10.1109/aicas48895.2020.9073856
Abstract
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Spiking neural networks have shown great promise for the design of low-power sensory-processing and edge-computing hardware platforms. However, implementing onchip learning algorithms on such architectures is still an open challenge, especially for multi-layer networks that rely on the back-propagation algorithm. In this paper, we present a spike-based learning method that approximates back-propagation using local weight update mechanisms and which is compatible with mixed-signal analog/digital neuromorphic circuits. We introduce a ne
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- Cartiglia, Matteo
- Haessig, Germain
- Indiveri, Giacomo
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Cartiglia, M., Haessig, G., & Indiveri, G. (2020, September 2). An error-propagation spiking neural network compatible with neuromorphic processors. 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Genova. https://doi.org/10.1109/aicas48895.2020.9073856
