The FitzHugh-Nagumo model: Firing modes with time-varying parameters and parameter estimation
Author(s)Faghih, Rose Taj; Savla, Ketan; Dahleh, Munther A.; Brown, Emery N.
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In this paper, we revisit the issue of the utility of the FitzHugh-Nagumo (FHN) model for capturing neuron firing behaviors. It has been noted (e.g., see ) that the FHN model cannot exhibit certain interesting firing behaviors such as bursting. We illustrate that, by allowing time-varying parameters for the FHN model, one could overcome such limitations while still retaining the low order complexity of the FHN model. We also highlight the utility of the FHN model from an estimation perspective by presenting a novel parameter estimation method that exploits the multiple time scale feature of the FHN model, and compare the performance of this method with the Extended Kalman Filter through illustrative examples.
DepartmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
International Conference IEEE Engineering in Medicine and Biology Society (EMBC)
Institute of Electrical and Electronics Engineers
Faghih, R.T. et al. “The Fitzhugh-Nagumo Model: Firing Modes with Time-varying Parameters & Parameter Estimation.” Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE. 2010. 4116-4119. Copyright © 2010, IEEE
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INSPEC Accession Number: 11660297