Cargando…
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics
A key question in theoretical neuroscience is the relation between the connectivity structure and the collective dynamics of a network of neurons. Here we study the connectivity-dynamics relation as reflected in the distribution of eigenvalues of the covariance matrix of the dynamic fluctuations of...
Autores principales: | Hu, Yu, Sompolinsky, Haim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345493/ https://www.ncbi.nlm.nih.gov/pubmed/35862445 http://dx.doi.org/10.1371/journal.pcbi.1010327 |
Ejemplares similares
-
Selectivity and Sparseness in Randomly Connected Balanced Networks
por: Pehlevan, Cengiz, et al.
Publicado: (2014) -
Coherent chaos in a recurrent neural network with structured connectivity
por: Landau, Itamar Daniel, et al.
Publicado: (2018) -
Large covariance and autocovariance matrices
por: Bose, Arup, et al.
Publicado: (2018) -
Stimulus-dependent suppression of intrinsic variability in recurrent neural networks
por: Rajan, Kanaka, et al.
Publicado: (2010) -
Shrinkage estimation for mean and covariance matrices
por: Tsukuma, Hisayuki, et al.
Publicado: (2020)