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The structures and functions of correlations in neural population codes
The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …
crucial for many brain functions. A fundamental question is how activity correlations between …
Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
Research on the dynamics of landslide displacement forms the basis for landslide hazard
prevention. This paper proposes a novel data-driven approach to monitor and predict the …
prevention. This paper proposes a novel data-driven approach to monitor and predict the …
Information-theoretic methods for studying population codes
Population coding is the quantitative study of which algorithms or representations are used
by the brain to combine together and evaluate the messages carried by different neurons …
by the brain to combine together and evaluate the messages carried by different neurons …
State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data
Precise spike coordination between the spiking activities of multiple neurons is suggested
as an indication of coordinated network activity in active cell assemblies. Spike correlation …
as an indication of coordinated network activity in active cell assemblies. Spike correlation …
Mixture of D-vine copulas for modeling dependence
The identification of an appropriate multivariate copula for capturing the dependence
structure in multivariate data is not straightforward. The reason is because standard …
structure in multivariate data is not straightforward. The reason is because standard …
Dethroning the fano factor: a flexible, model-based approach to partitioning neural variability
Neurons in many brain areas exhibit high trial-to-trial variability, with spike counts that are
overdispersed relative to a Poisson distribution. Recent work (Goris, Movshon, & …
overdispersed relative to a Poisson distribution. Recent work (Goris, Movshon, & …
Copulas and their potential for ecology
All branches of ecology study relationships among and between environmental and
biological variables. However, standard approaches to studying such relationships, based …
biological variables. However, standard approaches to studying such relationships, based …
Information estimation using nonparametric copulas
Estimation of mutual information between random variables has become crucial in a range
of fields, from physics to neuroscience to finance. Estimating information accurately over a …
of fields, from physics to neuroscience to finance. Estimating information accurately over a …
A new approach to interspecific synchrony in population ecology using tail association
Standard methods for studying the association between two ecologically important variables
provide only a small slice of the information content of the association, but statistical …
provide only a small slice of the information content of the association, but statistical …
Risk of cascading blackouts given correlated component outages
Cascading blackouts typically occur when nearly simultaneous outages occur in k out of N
components in a power system, triggering subsequent failures that propagate through the …
components in a power system, triggering subsequent failures that propagate through the …