Cargando…
CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains
Recent developments in electrophysiological and optical recording techniques enable the simultaneous observation of large numbers of neurons. A meaningful interpretation of the resulting multivariate data, however, presents a serious challenge. In particular, the estimation of higher-order correlati...
Autores principales: | Staude, Benjamin, Rotter, Stefan, Grün, Sonja |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer US
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940040/ https://www.ncbi.nlm.nih.gov/pubmed/19862611 http://dx.doi.org/10.1007/s10827-009-0195-x |
Ejemplares similares
-
Testing for higher-order correlations in massively parallel spike trains
por: Staude, Benjamin, et al.
Publicado: (2007) -
Higher-Order Correlations in Non-Stationary Parallel Spike Trains: Statistical Modeling and Inference
por: Staude, Benjamin, et al.
Publicado: (2010) -
Methods for identification of spike patterns in massively parallel spike trains
por: Quaglio, Pietro, et al.
Publicado: (2018) -
A new method to infer higher-order spike correlations from membrane potentials
por: Reimer, Imke C. G., et al.
Publicado: (2013) -
Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains
por: Berger, Denise, et al.
Publicado: (2010)