Abstract
We have developed a model of the mammalian respiratory central pattern generator (rCPG) to mimic the salient characteristics of its constituent medullary neurons. This model was designed as a network of Hodgkin-Huxley type medullary neurons under the hypothesis that synaptic and network effects predominate over ionic influences in determining the pattern of firing seen in individual neurons. After obtaining satisfactory mimicry of these patterns we validated the model to a different set of data in order to examine its robustness in the face of transient perturbations.
| Original language | English |
|---|---|
| Pages (from-to) | 4580-4583 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 26 VI |
| State | Published - 2004 |
| Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics