File(s) under permanent embargo
Multi-scale model of an inhibitory network shows optimal properties near bifurcation
journal contribution
posted on 2023-06-07, 19:27 authored by Christopher BuckleyChristopher Buckley, Thomas NowotnyThomas NowotnyWe present a systematic multiscale reduction of a biologically plausible model of the inhibitory neuronal network of the pheromone system of the moth. Starting from a Hodgkin-Huxley conductance based model we adiabatically eliminate fast variables and quantitatively reduce the model to mean field equations. We then prove analytically that the network's ability to operate on signal amplitudes across several orders of magnitude is optimal when a disinhibitory mode is close to losing stability and the network dynamics are close to bifurcation. This has the potential to extend the idea that optimal dynamic range in the brain arises as a critical phenomenon of phase transitions in excitable media to brain regions that are dominated by inhibition or have slow dynamics.
History
Publication status
- Published
Journal
Physical Review LettersISSN
0031-9007Publisher
American Physical SocietyPublisher URL
External DOI
Issue
23Volume
106Page range
238109Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC