Cargando…
Resonant learning in scale-free networks
Large networks of interconnected components, such as genes or machines, can coordinate complex behavioral dynamics. One outstanding question has been to identify the design principles that allow such networks to learn new behaviors. Here, we use Boolean networks as prototypes to demonstrate how peri...
Autores principales: | Goldman, Samuel, Aldana, Maximino, Cluzel, Philippe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983844/ https://www.ncbi.nlm.nih.gov/pubmed/36809235 http://dx.doi.org/10.1371/journal.pcbi.1010894 |
Ejemplares similares
-
Adaptive Resistance in Bacteria Requires Epigenetic Inheritance, Genetic Noise, and Cost of Efflux Pumps
por: Motta, Santiago Sandoval, et al.
Publicado: (2015) -
Monitoring lineages of growing and dividing bacteria reveals an inducible memory of mar operon expression
por: Guet, Calin C., et al.
Publicado: (2023) -
Criticality Is an Emergent Property of Genetic Networks that Exhibit Evolvability
por: Torres-Sosa, Christian, et al.
Publicado: (2012) -
Pattern Recognition in Neural Networks with Competing Dynamics: Coexistence of Fixed-Point and Cyclic Attractors
por: Herrera-Aguilar, José L., et al.
Publicado: (2012) -
Lévy movements and a slowly decaying memory allow efficient collective learning in groups of interacting foragers
por: Falcón-Cortés, Andrea, et al.
Publicado: (2023)