Abstract
In this paper, we present a resonate-and-fire type spiking neuron model and analyze its stability of synchronization phenomena to an input spike train. We also present a parameter update rule to memorize a period of input spike train and analyze its pull-in process. Then we present a pulse-coupled network of the proposed model and show that the proposed network and a Kohonen’s SOM has similar functions. And we make comparisons to a network of another resonate-and-fire type neuron model and show superiority of the proposed model.
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Kinoshita, K., Torikai, H. (2009). A Pulse-Coupled Network of SOM. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_41
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DOI: https://doi.org/10.1007/978-3-642-10684-2_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
Online ISBN: 978-3-642-10684-2
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