Cargando…
Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference
Calcium imaging has been used as a promising technique to monitor the dynamic activity of neuronal populations. However, the calcium trace is temporally smeared which restricts the extraction of quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstru...
Autores principales: | Rahmati, Vahid, Kirmse, Knut, Marković, Dimitrije, Holthoff, Knut, Kiebel, Stefan J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760968/ https://www.ncbi.nlm.nih.gov/pubmed/26894748 http://dx.doi.org/10.1371/journal.pcbi.1004736 |
Ejemplares similares
-
Neuronal Sequence Models for Bayesian Online Inference
por: Frölich, Sascha, et al.
Publicado: (2021) -
Developmental Emergence of Sparse Coding: A Dynamic Systems Approach
por: Rahmati, Vahid, et al.
Publicado: (2017) -
Correction: Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference
Publicado: (2016) -
Network instability dynamics drive a transient bursting period in the developing hippocampus in vivo
por: Graf, Jürgen, et al.
Publicado: (2022) -
Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales
por: Marković, Dimitrije, et al.
Publicado: (2020)