Abstract
In this paper we present a generalized model of a resonate-and-fire-type digital spiking neuron. Depending on a stimulation input, the neuron generates various firing spike-trains. Using a hybrid return map, we can analyze typical bifurcation phenomena of the neuron. The analysis clarifies that the generalized model can mimic many responses of biological spiking neurons.
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© 2009 Springer-Verlag Berlin Heidelberg
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Hishiki, T., Torikai, H. (2009). Bifurcation Analysis of a Resonate-and-Fire-Type Digital Spiking Neuron. 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_44
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DOI: https://doi.org/10.1007/978-3-642-10684-2_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
Online ISBN: 978-3-642-10684-2
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