Cargando…
Finite-Size Relaxational Dynamics of a Spike Random Matrix Spherical Model
We present a thorough numerical analysis of the relaxational dynamics of the Sherrington–Kirkpatrick spherical model with an additive non-disordered perturbation for large but finite sizes N. In the thermodynamic limit and at low temperatures, the perturbation is responsible for a phase transition f...
Autores principales: | de Freitas Pimenta, Pedro H., Stariolo, Daniel A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297421/ https://www.ncbi.nlm.nih.gov/pubmed/37372301 http://dx.doi.org/10.3390/e25060957 |
Ejemplares similares
-
Dynamic Finite Size Effects in Spiking Neural Networks
por: Buice, Michael A., et al.
Publicado: (2013) -
Buildings of spherical type and finite BN-pairs
por: Tits, Jacques
Publicado: (1974) -
A Markov model for the temporal dynamics of balanced random networks of finite size
por: Lagzi, Fereshteh, et al.
Publicado: (2014) -
Finite-size scaling, Zamolodchikov's c-theorem and the S-matrix
por: Mavromatos, Nikolaos E, et al.
Publicado: (1989) -
A stochastic-field description of finite-size spiking neural networks
por: Dumont, Grégory, et al.
Publicado: (2017)