Name
Title | ||
|---|---|---|
Mappings between a macroscopic neural-mass model and a reduced conductance-based model. |
Abstract | ||
|---|---|---|
We present two alternative mappings between macroscopic neuronal models and a reduction of a conductance-based model. These provide possible explanations of the relationship between parameters of these two different approaches to modelling neuronal activity. Obtaining a physical interpretation of neural-mass models is of fundamental importance as they could provide direct and accessible tools for use in diagnosing neurological conditions. Detailed consideration of the assumptions required for the validity of each mapping elucidates strengths and weaknesses of each macroscopic model and suggests improvements for future development. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s00422-010-0372-z | Biological Cybernetics |
Keywords | Field | DocType |
Neural field,Conductance-based model,Ki sets,Neural mass,Multiscale mapping | Macroscopic model,Neural fields,Artificial intelligence,Conductance,Strengths and weaknesses,Mathematics | Journal |
Volume | Issue | ISSN |
102 | 5 | 1432-0770 |
Citations | PageRank | References |
4 | 0.43 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serafim Rodrigues | 1 | 23 | 3.48 |
| Anton V. Chizhov | 2 | 14 | 3.88 |
| Frank Marten | 3 | 24 | 2.14 |
| John R Terry | 4 | 63 | 11.50 |