Abstract
Izhikevich neuron is a relatively new neuronal model, which has found extensive applications in modeling neuron due to its strong biological plausibility and computational effectiveness. In this work we use the information theoretic method to measure the ability of information transmission of this neuron model. We find that Izhikevich neuron shows low sensitivity to high frequency of random noise; and appropriate noise level can help information transmission through the neuron. © 2012 Springer-Verlag.
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CITATION STYLE
Yang, Z., Guo, L., & Zhu, Q. (2012). Measuring information transmission in Izhikevich neuron. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7530 LNAI, pp. 580–587). https://doi.org/10.1007/978-3-642-33478-8_72
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