Cargando…
A framework for macroscopic phase-resetting curves for generalised spiking neural networks
Brain rhythms emerge from synchronization among interconnected spiking neurons. Key properties of such rhythms can be gleaned from the phase-resetting curve (PRC). Inferring the PRC and developing a systematic phase reduction theory for large-scale brain rhythms remains an outstanding challenge. Her...
Autores principales: | Dumont, Grégory, Pérez-Cervera, Alberto, Gutkin, Boris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371324/ https://www.ncbi.nlm.nih.gov/pubmed/35913991 http://dx.doi.org/10.1371/journal.pcbi.1010363 |
Ejemplares similares
-
Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits
por: Dumont, Grégory, et al.
Publicado: (2019) -
Are phase resetting curves tunable?
por: Oprisan, Sorinel A, et al.
Publicado: (2014) -
Maps based on the phase resetting curve explain spike statistics of coupled neural oscillators observed in the presence of noise
por: Achuthan, Srisairam, et al.
Publicado: (2010) -
Why are all phase resetting curves bimodal?
por: Oprisan, Sorinel A, et al.
Publicado: (2013) -
High dimensional phase resetting curves and their use in predicting network dynamics
por: Oprisan, Sorinel A, et al.
Publicado: (2011)