Rete neurale spiking (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Rete neurale spiking" in Italian language version.

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archive.org

Jason Eshraghian et al., Training Spiking Neural Networks Using Lessons from Deep Learning, 1º ottobre 2021, arXiv:2109.12894.
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini e Timothée Masquelier, SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron, in Frontiers in Neuroscience, vol. 13, 12 luglio 2019, p. 625, DOI:10.3389/fnins.2019.00625, PMC 6640212, PMID 31354403, arXiv:1903.02440.

L. F. Abbott e Sacha B. Nelson, Synaptic plasticity: taming the beast, in Nature Neuroscience, vol. 3, S11, novembre 2000, pp. 1178-1183, DOI:10.1038/81453, PMID 11127835.
A.F. Atiya e A.G. Parlos, New results on recurrent network training: unifying the algorithms and accelerating convergence, in IEEE Transactions on Neural Networks, vol. 11, n. 3, maggio 2000, pp. 697-709, DOI:10.1109/72.846741, PMID 18249797.
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini e Timothée Masquelier, SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron, in Frontiers in Neuroscience, vol. 13, 12 luglio 2019, p. 625, DOI:10.3389/fnins.2019.00625, PMC 6640212, PMID 31354403, arXiv:1903.02440.

L. F. Abbott e Sacha B. Nelson, Synaptic plasticity: taming the beast, in Nature Neuroscience, vol. 3, S11, novembre 2000, pp. 1178-1183, DOI:10.1038/81453, PMID 11127835.
A.F. Atiya e A.G. Parlos, New results on recurrent network training: unifying the algorithms and accelerating convergence, in IEEE Transactions on Neural Networks, vol. 11, n. 3, maggio 2000, pp. 697-709, DOI:10.1109/72.846741, PMID 18249797.