Cargando…
Measuring Symmetry, Asymmetry and Randomness in Neural Network Connectivity
Cognitive functions are stored in the connectome, the wiring diagram of the brain, which exhibits non-random features, so-called motifs. In this work, we focus on bidirectional, symmetric motifs, i.e. two neurons that project to each other via connections of equal strength, and unidirectional, non-s...
Autores principales: | Esposito, Umberto, Giugliano, Michele, van Rossum, Mark, Vasilaki, Eleni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090069/ https://www.ncbi.nlm.nih.gov/pubmed/25006663 http://dx.doi.org/10.1371/journal.pone.0100805 |
Ejemplares similares
-
Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity
por: Esposito, Umberto, et al.
Publicado: (2015) -
Emergence of Connectivity Motifs in Networks of Model Neurons with Short- and Long-Term Plastic Synapses
por: Vasilaki, Eleni, et al.
Publicado: (2014) -
Symmetries and asymmetries in the neural encoding of 3D space
por: Jeffery, Kate J.
Publicado: (2023) -
Democratic Population Decisions Result in Robust Policy-Gradient
Learning: A Parametric Study with GPU Simulations
por: Richmond, Paul, et al.
Publicado: (2011) -
Symmetry and asymmetry in physics
por: Kronig, R
Publicado: (1966)