Abstract
This paper studies dynamics of a simple bifurcating neuron to which spike-train input is applied a refractory threshold. The neuron can exhibit rich periodic orbits that is super-stable for initial state and has very fast transient. The periodic orbits are characterized by the rotation number that relates to rate coding of the spike-train. The dynamics can be simplified into the 1-D map of spiking phase. The phase map is piecewise linear and basic bifurcation phenomena can be clarified theoretically.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Perez, R., Glass, L.: Bistability, period doubling bifurcations and chaos in a periodically forced oscillator. Phys. Lett. 90A(9), 441–443 (1982)
Allen, T.: Complicated, but rational, phase-loching responses of a simple time-base oscillatos. IEEE Trans. Circuits Syst. 30(9), 627–632 (1983)
Torikai, H., Saito, T., Schwarz, W.: Synchronization via multiplex pulse-train. IEEE Trans. Circuits Syst. I 46(9), 1072–1085 (1999)
Lee, G., Farhat, N.H.: The bifurcating neuron network 1. Neural networks 14, 115–131 (2001)
Hernandez, E.D.M., Lee, G., Farhat, N.H.: Analog Realization of Arbitrary One-Dimensional Maps. IEEE Trans. Circuits Syst. I 50(12), 1538–1547 (2003)
Izhikevich, E.M.: Simple Model of Spiking Neurons. IEEE Trans. Neural Networks 14(6), 1569–1572 (2003)
Toyoizumi, T., Aihara, K., Amari, S.: Fisher information for spike-based population coding. Phys. Rev. Lett. 97, 098102 (2006)
Kon’no, Y., Saito, T., Torikai, H.: Rich dynamics of pulse-coupled spiking neurons with a triangular base signal. Neural Networks 18, 523–531 (2005)
Shimazaki, M., Torikai, H., Saito, T.: Synchronization and window map from pulse-coupled relaxation oscillators. IEICE Trans. Fundamentals, E87-A 9, 2426–2431 (2004)
Patel, A., Kosko, B.: Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. IEEE Trans. Neural Networks 19(12), 1993–2008 (2008)
Chen, K., Wang, D.L.: A dynamically coupled neural oscillator network for image segmentation. Neural Networks 15, 423–439 (2002)
Hamanaka, H., Torikai, H., Saito, T.: Quantized spiking neuron with A/D conversion functions. IEEE Trans. Circuits Syst. II 53(10), 1049–1053 (2006)
Hopfield, J.J., Herz, A.V.M.: Rapid local synchronization of action potentials: Toward computation with coupled integrate-and-fire neurons. Proc. Natl. Acad. Sci. USA 92, 6655–6662 (1995)
Rowcliffe, P., Feng, J., Buxton, H.: Spiking Perceptrons. IEEE Trans. Neural Networks 17(3), 803–807 (2006)
Vogelstein, R.J., Mallik, U., Vogelstein, J.T., Cauwenberghs, G.: Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses. IEEE Trans. Neural Networks 18(1), 253–265 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Teshima, S., Saito, T. (2009). A Simple Spiking Neuron with Periodic Input: Basic Bifurcation and Encoding Function. 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_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-10684-2_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
Online ISBN: 978-3-642-10684-2
eBook Packages: Computer ScienceComputer Science (R0)