Measuring information transmission in izhikevich neuron

  • Authors:
  • Zhijun Yang;Li Guo;Qingbao Zhu

  • Affiliations:
  • School of Computer Science, Nanjing Normal University, Nanjing, China;School of Computer Science, Nanjing Normal University, Nanjing, China;School of Computer Science, Nanjing Normal University, Nanjing, China

  • Venue:
  • AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
  • Year:
  • 2012

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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.