An Efficient Population Density Method for Modeling Neural Networks with Synaptic Dynamics Manifesting Finite Relaxation Time and Short-Term Plasticity

When incorporating more realistic synaptic dynamics, the computational efficiency of population density methods (PDMs) declines sharply due to the increase in the dimension of master equations. To avoid such a decline, we develop an efficient PDM, termed colored-synapse PDM (csPDM), in which the dim...

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Detalles Bibliográficos
Autores principales: Huang, Chih-Hsu, Lin, Chou-Ching K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2019
Materias:
Methods/New Tools
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336402/
https://www.ncbi.nlm.nih.gov/pubmed/30662939
http://dx.doi.org/10.1523/ENEURO.0002-18.2018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336402/
https://www.ncbi.nlm.nih.gov/pubmed/30662939
http://dx.doi.org/10.1523/ENEURO.0002-18.2018

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