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cs.NE2023
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seongsik Park, Jeonghee Jo, Jongkil Park +9
Deep spiking neural networks (SNNs) are promising neural networks for their model capacity from deep neural network architecture and energy efficiency from SNNs' operations. To tra…
cs.NE2017★ 1 cited
Markov chain Hebbian learning algorithm with ternary synaptic units
Guhyun Kim, Vladimir Kornijcuk, Dohun Kim +6
In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due i…