Abstract
This paper presents a novel approach to estimate internal variables such as gating variables, potassium, sodium and chloride concentrations from the knowledge of voltage of a neuron. This approach is based on the Hodgkin-Huxley neuron dynamics and basic ideas behind a Luenberger observer, and utilizes the full nonlinear dynamics. Results from numerical simulations are presented.
Original language | English (US) |
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Title of host publication | 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 |
Pages | 194-197 |
Number of pages | 4 |
DOIs | |
State | Published - Dec 1 2013 |
Event | 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States Duration: Nov 6 2013 → Nov 8 2013 |
Other
Other | 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 |
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Country | United States |
City | San Diego, CA |
Period | 11/6/13 → 11/8/13 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Mechanical Engineering