The structures and functions of correlations in neural population codes

S Panzeri, M Moroni, H Safaai… - Nature Reviews …, 2022 - nature.com
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 …

Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models

H Li, Q Xu, Y He, J Deng - Landslides, 2018 - Springer
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 …

Information-theoretic methods for studying population codes

RAA Ince, R Senatore, E Arabzadeh, F Montani… - Neural Networks, 2010 - Elsevier
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 …

State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data

H Shimazaki, S Amari, EN Brown… - PLoS computational …, 2012 - journals.plos.org
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 …

Mixture of D-vine copulas for modeling dependence

D Kim, JM Kim, SM Liao, YS Jung - Computational Statistics & Data …, 2013 - Elsevier
The identification of an appropriate multivariate copula for capturing the dependence
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

AS Charles, M Park, JP Weller, GD Horwitz… - Neural …, 2018 - direct.mit.edu
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, & …

Copulas and their potential for ecology

S Ghosh, LW Sheppard, MT Holder, TD Loecke… - Advances in Ecological …, 2020 - Elsevier
All branches of ecology study relationships among and between environmental and
biological variables. However, standard approaches to studying such relationships, based …

Information estimation using nonparametric copulas

H Safaai, A Onken, CD Harvey, S Panzeri - Physical Review E, 2018 - APS
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 …

A new approach to interspecific synchrony in population ecology using tail association

S Ghosh, LW Sheppard, PC Reid… - Ecology and …, 2020 - Wiley Online Library
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 …

Risk of cascading blackouts given correlated component outages

LA Clarfeld, PDH Hines, EM Hernandez… - … on Network Science …, 2019 - ieeexplore.ieee.org
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 …