… necessitates developing multiscale analysis of spike-field activity. A joint analysis of the …
increasingly common to simultaneously record spikes and local field potentials (LFPs) from …

… population activity measured through local field potentials (LFP… spike trains is faster than field
potentials, our model can use … Behavioral covariates u t were taken as the seven joint angle …

… We will show how the joint use of these pairs allows to distinguish direct from indirect
dependencies. However, this approach may lose part of the information present in the …

… on parametric copulas which allows modeling joint distributions of … areas, spiking activity
with local-field potential [23] and somatic … We generated the synthetic spike counts using a …

… to jointly model EEG and sEMG signals. The advantage of … to study the correlation between
mixed data consisting of discrete neural spike sequences and continuous local field potential …

… Next a copula model allowed us to compute the joint spike … describe the joint activity between
all pair of neurons using copulas … is the local field for neuron i at time t imposing the firing …

… of neural time series, such as local eld potential (LFP) and neural spike trains (NST).Geng et
al.… joint distribution. With copula, the edge distribution can be separated from its joint density …

… field signals include local field potentials (LFPs) and electrocorticogram (ECoG). Analyses
… To do so, we need to write the joint multiscale likelihood function for all spike and field …

… structure in the multivariate distribution by copula functions (copula families). Copula
measures describe that N-variables joint distribution states with N separated distributions and a …

… in- and out-degrees using a Gaussian copula. Our model … and can be made arbitrarily “spike-like”
and localised around \(\… neurons of the product of the joint degree distribution, the out-…