Publication: On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks
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Payvand, M., Fouda, M. E., Kurdahi, F., Eltawil, A. M., & Neftci, E. O. (2020). On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(4), 522–535. https://doi.org/10.1109/jetcas.2020.3040248
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Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity. Although SNNs can be scalably implemented using neuromorphic VLSI, an architecture that can learn using gradient-descent in situ is still missing. In this paper, we propose a local, gradient-based, error-triggered learning algorithm with online ternary weight updates. The proposed algorithm enables online training of multi-layer SNNs with memristive neuromorphic h
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- Payvand, Melika
- Fouda, Mohammed E
- Kurdahi, Fadi
- Eltawil, Ahmed M
- Neftci, Emre O
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Payvand, M., Fouda, M. E., Kurdahi, F., Eltawil, A. M., & Neftci, E. O. (2020). On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(4), 522–535. https://doi.org/10.1109/jetcas.2020.3040248
