Mappings between a macroscopic neural-mass model and a reduced conductance-based model
Biological Cybernetics, ISSN: 0340-1200, Vol: 102, Issue: 5, Page: 361-371
2010
- 11Citations
- 57Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations11
- Citation Indexes11
- 11
- CrossRef6
- Captures57
- Readers57
- 57
Article Description
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. © 2010 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77952011014&origin=inward; http://dx.doi.org/10.1007/s00422-010-0372-z; http://www.ncbi.nlm.nih.gov/pubmed/20306202; http://link.springer.com/10.1007/s00422-010-0372-z; https://dx.doi.org/10.1007/s00422-010-0372-z; https://link.springer.com/article/10.1007/s00422-010-0372-z; http://www.springerlink.com/index/10.1007/s00422-010-0372-z; http://www.springerlink.com/index/pdf/10.1007/s00422-010-0372-z
Springer Science and Business Media LLC
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