One of the main goals of current systems neuroscience is to understand how neuronal
populations integrate sensory information to inform behavior. However, estimating stimulus …

The activities of individual neurons in cortex and many other areas of the brain are often well
described by Poisson distributions. Unfortunately, there is no simple joint Poisson …

The question as to the role that correlated activity plays in the coding of information in the
brain continues to be one of the most important in neuroscience. One approach to …

Recordings of complex neural population responses provide a unique opportunity for
advancing our understanding of neural information processing at multiple scales and …

The coding of information by neural populations depends critically on the statistical
dependencies between neuronal responses. However, there is no simple model that …

Coordinated activity in neural populations is crucial for information processing. Shedding
light on the multivariate dependencies that shape multineuronal responses is important to …

Simultaneous spike-counts of neural populations are typically modeled by a Gaussian
distribution. On short time scales, however, this distribution is too restrictive to describe and …

Copula is an important tool for modeling neural dependence. Recent work on copula has
been expanded to jointly model mixed time series in neuroscience (“Hu et al., 2016, Joint …

Recent technological advances, which allow for simultaneous recording of spikes and local
field potentials (LFPs) at multiple sites in a given cortical area or across different areas, have …

Simultaneous recordings from groups of neurons request to improve models. To switch from
single unit description to multivariate models describing the coding activity of two or more …