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Bayesian estimation of synaptic physiology from the spectral responses of neural masses
We describe a Bayesian inference scheme for quantifying the active physiology of neuronal ensembles using local field recordings of synaptic potentials. This entails the inversion of a generative neural mass model of steady-state spectral activity. The inversion uses Expectation Maximization (EM) to...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2644419/ https://ncbi.nlm.nih.gov/pubmed/18515149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.01.025 |
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