Correlations between spike counts are often used to analyze neural coding. The noise is typically assumed to be Gaussian. Yet, this assumption is often ...

We develop a framework to analyze spike count data by means of copulas. Methods for parameter inference based on maximum likelihood estimates and for ...

Nov 26, 2009 · We describe maximum likelihood-based procedures for fitting copula-based models to spike-count data, and we derive a so-called flashlight ...

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation ... PLoS Comput. Biol. 2009.

We develop a framework to analyze spike count data by means of copulas. Methods for parameter inference based on maximum likelihood estimates and for ...

Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation. PLoS Comput Biol. 2009 ...

We develop a framework to analyze spike count data by means of copulas. Methods for parameter inference based on maximum likelihood estimates and for ...

We develop a framework to analyze spike count data by means of copulas. Methods for parameter inference based on maximum likelihood estimates and for ...

Registration Required. You must be logged in to view this content. Successful Page Load. NeurIPS uses cookies to remember that you are logged in.

Dive into the research topics of 'Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight ...