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Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics
The neural dynamics of the nematode Caenorhabditis elegans are experimentally low-dimensional and may be understood as long-timescale transitions between multiple low-dimensional attractors. Previous
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition
TLDR
A novel method based on dynamic mode decomposition (DMD) to extract networks from short windows of noisy, high-dimensional fMRI data, allowing RSNs from single scans to be resolved robustly at a temporal resolution of seconds.
Extracting Reproducible Time-Resolved Resting State Networks using Dynamic Mode Decomposition
TLDR
A novel method based on dynamic mode decomposition (DMD) to extract networks from short windows of noisy, high-dimensional fMRI data, allowing RSNs from single scans to be resolved robustly at a temporal resolution of seconds.
Allele Frequency Mismatches and Apparent Mismappings in UK Biobank SNP Data
TLDR
A large set of SNPs for which the UKB MAFs are inconsistent are found, and it is found that they are all associated with identical sequences on different chromosomes, implying that these SNPs are simply mismapped.
Expansion of the Kullback-Leibler Divergence, and a new class of information metrics
TLDR
This study presents a structured, series expansion of the Kullback-Leibler divergence as an additive series in the number of interacting variables, which provides a restricted and simplified set of distributions to use as approximation and with which to model data.
The Information Content of Discrete Functions and Their Application in Genetic Data Analysis
TLDR
This work presents here a direct method for classifying the functional forms of discrete functions of three variables represented in data sets and illustrates the functional description and the classes of a number of common genetic interaction modes.
Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome
TLDR
A view of the gap junction Connectome as consisting of a rather low-complexity network component whose symmetry is broken by the unique connectivities of singularly important rich club neurons, sharply increasing the complexity of the network is supported.
Partial Information Decomposition and the Information Delta: A Geometric Unification Disentangling Non-Pairwise Information
TLDR
This paper shows that the PID and Delta frameworks are largely equivalent, allowing for results in one framework to apply towards open questions in the other, and finds that the approach of Bertschinger et al. is useful for the open Information Delta question of how to deal with linkage disequilibrium.
Optimized permutation testing for information theoretic measures of multi-gene interactions
TLDR
This paper develops an approach for permutation testing in multi-locus GWAS, specifically focusing on SNP–SNP-phenotype interactions using multivariable measures that can be computed from frequency count tables, such as those based in Information Theory.
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