Abstract
Investigation of different factor influence on the spike-timing-dependent plasticity learning process was performed. The next factors were analyzed: choice of spike pairing scheme, shapes of postsynaptic currents and the choice of input type signal for learning. Best factors for learning performance were extracted.
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Kukin, K., Sboev, A. Comparison of learning methods for spiking neural networks. Opt. Mem. Neural Networks 24, 123–129 (2015). https://doi.org/10.3103/S1060992X15020095
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DOI: https://doi.org/10.3103/S1060992X15020095