This paper presents an effective learning multi-spike deep spiking neural network with temporal feedback backpropagation for breast cancer detection
Apr 4, 2016 · In this paper, an efficient multi-layer supervised learning algorithm, the NSEBP, is proposed for spiking neural networks. The accurate ...
Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection. Mehdi Heidarian ...
Here, we propose a gradient descent-based learning algorithm for synaptic delays to enhance the sequential learning performance of single spiking neuron.
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Nov 10, 2022 · The proposed algorithm can correlate delayed feedback signals with the effective clues embedded in background spiking activity.
Sep 6, 2023 · This article serves as a tutorial and perspective showing how to apply the lessons learned from several decades of research in deep learning, ...
Publications using SpikingJelly ; Direct training high-performance spiking neural networks for object recognition and detection, Frontiers in Neuroscience.
Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection. Mehdi Heidarian ...
This paper proposes a supervised training algorithm for Spiking Neural Networks (SNNs) which modifies the Spike Timing Dependent Plasticity (STDP)learning ...
Next, it is reformulated to efficiently train multi-layer SNNs, and is shown to be effectively performing spatio-temporal error backpropagation. The learning ...