Different responses of two types of class II neurons for fluctuated inputs

Authors:
Ryosuke Hosaka;Yutaka Sakai;Tohru Ikeguchi;Shuji Yoshizawa
Affiliations:
Graduate school of Science and Engineering, Saitama University, Japan;Faculty of Engineering, Tamagawa University, Tokyo, Japan;Graduate school of Science and Engineering, Saitama University, Japan;Tamagawa University Research Institute, Tokyo, Japan
Venue:
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Year:
2006

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Abstract

We investigated the statistical characteristics of spike sequences of two types of Class II neurons, neurons with subcritical or supercritical Hopf bifurcations, with uncorrelated fluctuation inputs by two statistical coefficients; coefficient of variation and skewness coefficient. We used the Morris-Lecar model and the Hindmarsh-Rose model as neuron models. As a result, even if the models belong to the same class, the interspike interval statistics exhibit different characteristics. We also discovered that the origin of the differences comes from a precise bifurcation structure, and the differences also affect the relationship on variation of input and variation of output. The results indicate that we have to introduce at least three classes by its bifurcation types to classify the neurons.