Abstract
This paper studies digital spike maps that can generate various periodic spike-trains. In order to analyze the maps, we present a simple analysis algorithm to calculate basic feature quantities. We then analyze a typical example of the map given by discretizing the bifurcating neuron. Applying the algorithm to the example, we demonstrate complex dynamics and give basic classification of the dynamics.
This work is supported in part by JSPS KAKENHI#24500284.
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Horimoto, N., Ogawa, T., Saito, T. (2012). Basic Analysis of Digital Spike Maps. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33269-2_21
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DOI: https://doi.org/10.1007/978-3-642-33269-2_21
Publisher Name: Springer, Berlin, Heidelberg
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