Cargando…
Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons
A dynamic system showing stable rhythmic activity can be represented by the dynamics of phase oscillators. This would provide a useful mathematical framework through which one can understand the system's dynamic properties. A recent study proposed a Bayesian approach capable of extracting the u...
Autores principales: | Suzuki, Kento, Aoyagi, Toshio, Kitano, Katsunori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766690/ https://www.ncbi.nlm.nih.gov/pubmed/29358914 http://dx.doi.org/10.3389/fncom.2017.00116 |
Ejemplares similares
-
Bayesian Population Decoding of Spiking Neurons
por: Gerwinn, Sebastian, et al.
Publicado: (2009) -
Spike generation estimated from stationary spike trains in a variety of neurons in vivo
por: Spanne, Anton, et al.
Publicado: (2014) -
Bayesian Inference for Generalized Linear Models for Spiking Neurons
por: Gerwinn, Sebastian, et al.
Publicado: (2010) -
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics
por: Hoang, Huu, et al.
Publicado: (2015) -
An Algorithm for Finding Candidate Synaptic Sites in Computer Generated Networks of Neurons with Realistic Morphologies
por: van Pelt, Jaap, et al.
Publicado: (2010)