Parameter Sensitivity Analysis of Hodgkin & Huxley Models using Partial Least Square Regression |
Author(s): |
| Devi .M , Jai Narayan Vyas University, M.B.M Engineering College Jodhpur; Dr. Akhil Ranjan Garg, Jai Narayan Vyas University, M.B.M Engineering College Jodhpur |
Keywords: |
| ionic conductance, injected current, regression coefficient, residual, standard deviation |
Abstract |
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PLS regression technique is used for parameter sensitivity analysis. This simple method gives a robust model, which shows the impact on dependent parameters when independent parameters are varied in certain range. The goal of the PLS regression is to generate a new simplified and empirical model which predicts the output resulting from a new set of input parameters. It also generates regression coefficient matrix which is reflection of parameter sensitivities of input parameters. In this paper we are going to do parameter sensitivity analysis of the Hodgkin and Huxley (HH) model. |
Other Details |
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Paper ID: IJSRDV7I110203 Published in: Volume : 7, Issue : 11 Publication Date: 01/02/2020 Page(s): 89-92 |
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