Abstract
This paper discussed suprathreshold stochastic resonance (SSR) in a HH model forced the periodic input. Temporal sequences of neuronal action potentials were transformed into the sinusoidal wave sequences and the sequences were analyzed by signal-to-noise ratio (SNR) in order to investigate the spectrum characteristic of a Hodgkin-Huxley (HH) neuron. The transformation reflected the pure information of interspike interval and provided a new tool to observe the suprathreshold behavior induced by periodic input. In contrast with the previous SSR in network devices, SSR of single neuron is observed.
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© 2006 Springer-Verlag Berlin Heidelberg
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Liu, J., Wu, J., Lou, Z. (2006). Suprathreshold Stochastic Resonance in Single Neuron Using Sinusoidal Wave Sequence. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_33
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DOI: https://doi.org/10.1007/11881070_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45901-9
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