Cargando…
Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons
Since the high dimension and complexity of the large-scale spiking neural network, it is difficult to research the network dynamics. In recent decades, the mean-field approximation has been a useful method to reduce the dimension of the network. In this study, we construct a large-scale spiking neur...
Autor principal: | Ye, Weijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925051/ https://www.ncbi.nlm.nih.gov/pubmed/33679968 http://dx.doi.org/10.1155/2021/6623926 |
Ejemplares similares
-
Cross-scale excitability in networks of quadratic integrate-and-fire neurons
por: Avitabile, Daniele, et al.
Publicado: (2022) -
Quadratic programming by spiking neuronal networks
por: Moreno-Bote, Rubén, et al.
Publicado: (2014) -
Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks
por: Kim, Youngeun, et al.
Publicado: (2023) -
Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks
por: Lu, Sijia, et al.
Publicado: (2022) -
Effect of network structure on spike train correlations in networks of integrate-and-fire neurons
por: Pernice, Volker, et al.
Publicado: (2011)