Complexity Collapse, Fluctuating Synchrony, and Transient Chaos in Neural Networks With Delay Clusters
Neural circuits operate with delays over a range of time scales, from a few milliseconds in recurrent local circuitry to tens of milliseconds or more for communication between populations. Modeling usually incorporates single fixed delays, meant to represent the mean conduction delay between neurons...
Guardado en:
Autores principales: | S. Kamyar Tavakoli, André Longtin |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0f04e0990c964502bd94b23edf236cdb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
What we see is how we are: New paradigms in visual research
por: MALDONADO A,PEDRO
Publicado: (2007) -
Oscillation results for a certain class of fourth-order nonlinear delay differential equations
por: Moaaz,Osama, et al.
Publicado: (2021) -
Chaos Addresses Energy in Networks of Electrical Oscillators
por: Maide Bucolo, et al.
Publicado: (2021) -
An Elementary Study of a Class of Dynamic Systems with Single Time Delay
por: Matsumoto,Akio, et al.
Publicado: (2013) -
Stability in totally nonlinear neutral differential equations with variable delay using fixed point theory
por: Ardjouni,Abdelouaheb, et al.
Publicado: (2015)