Cargando…
A few strong connections: optimizing information retention in neuronal avalanches
BACKGROUND: How living neural networks retain information is still incompletely understood. Two prominent ideas on this topic have developed in parallel, but have remained somewhat unconnected. The first of these, the "synaptic hypothesis," holds that information can be retained in synapti...
Autores principales: | Chen, Wei, Hobbs, Jon P, Tang, Aonan, Beggs, John M |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2824798/ https://www.ncbi.nlm.nih.gov/pubmed/20053290 http://dx.doi.org/10.1186/1471-2202-11-3 |
Ejemplares similares
-
Recurrent activity in neuronal avalanches
por: Salners, Tyler, et al.
Publicado: (2023) -
Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro
por: Heiney, Kristine, et al.
Publicado: (2022) -
Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model
por: Perez-Oregon, Jennifer, et al.
Publicado: (2020) -
A second-order maximum entropy model predicts correlated network states, but not their evolution over time
por: Tang, Aonan, et al.
Publicado: (2007) -
The Few, the Strong: Rat Cortex Features Small Numbers of Powerful Connections
Publicado: (2005)