Abstract
A spiking neuron with a quantized state can have various periodic spike-trains and generates one of them depending on an initial state. We analyze basic characteristics of the neuron, e.g., number of the co-existing spike-trains and their periods. Using a spike position modulation, the spike-train can be encoded by a digital sequence. It is clarified that the QSN can realize a Binary or a Gray codings for the spike-trains by simply adjusting a system parameter. Also, we present a simple pulse-coupled network and consider its basic pulse coding characteristics. Using a simple test circuit, typical phenomena are confirmed experimentally.
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© 2004 Springer-Verlag Berlin Heidelberg
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Torikai, H., Hamanaka, H., Saito, T. (2004). Pulse Codings of a Spiking Neuron Having Quantized State. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_135
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DOI: https://doi.org/10.1007/978-3-540-30132-5_135
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
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