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) |
|---|---|
| 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 |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 11/6/13 → 11/8/13 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Mechanical Engineering
Cite this
}
Estimation of internal variables from Hodgkin-Huxley neuron voltage. / Sinha, Alok; Schiff, Steven; Huebel, Niklas.
2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013. 2013. p. 194-197 6695905.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Estimation of internal variables from Hodgkin-Huxley neuron voltage
AU - Sinha, Alok
AU - Schiff, Steven
AU - Huebel, Niklas
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84897715068&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897715068&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6695905
DO - 10.1109/NER.2013.6695905
M3 - Conference contribution
AN - SCOPUS:84897715068
SN - 9781467319690
SP - 194
EP - 197
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
ER -