Abstract
The behavior of neuronal and other biological systems is determined by their parameter values. We introduce a new metric to quantify the sensitivity of output to parameter changes. This metric is referred to as invariant multiparameter sensitivity (IMPS) because it takes on the same value for a class of equivalent systems. As a simplification of neuronal membrane, we calculate, in parallel resistor circuits, the values of IMPS and a previously studied metric of parameter sensitivity. Furthermore, we simulate phase oscillator models on complex networks and clarify the property of IMPS.
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Fujiwara, K., Tanaka, T., Nakamura, K. (2014). Invariant Multiparameter Sensitivity of Oscillator Networks. In: Loo, C.K., Yap, K.S., Wong, K.W., Teoh, A., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8834. Springer, Cham. https://doi.org/10.1007/978-3-319-12637-1_23
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DOI: https://doi.org/10.1007/978-3-319-12637-1_23
Publisher Name: Springer, Cham
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