Publications, Talks & Posters

Ranking of communities in multiplex spatiotemporal models of brain dynamics

Applied Network Science, 2022

In this paper we provide new maximum entropy model selection and random-walk-based community ranking methods for analysing state space models of brain dynamics as a dynamic multiplex network.

Recommended citation: Wilsenach, J. B., Warnaby, C. E., Deane, C. M., & Reinert, G. D. (2022). Ranking of communities in multiplex spatiotemporal models of brain dynamics. Applied network science, 7(1), 1-22. https://appliednetsci.springeropen.com/articles/10.1007/s41109-022-00454-2

Neuron Tree Construction and Model Building Pipeline for Investigation of Neuronal Integration

Quantitative BioImaging, 2020

This poster was presented at Quantitative BioImaging 2020, a conference on advances in biological optical and electron microscopy data analysis. The poster focuses on a pipeline for de-noising light sheet microscopy images of rat pyrimidal neurons and producing functional and biologically realistic ODE-based single neuron simulations for analysis of intracellular calcium dynamics.

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Evolutionary fields can explain patterns of high-dimensional complexity in ecology

Physical Review E, 2017

This paper examines the effect of interacting evolutionary and ecological time scales on the complexity of predator-prey systems. Specifically, how characteristic chaotic population dynamics driven by evolutionary forces can resemble common forms of noise seen in nature.

Recommended citation: Wilsenach, J., Landi, P., & Hui, C. (2017). Evolutionary fields can explain patterns of high-dimensional complexity in ecology. Physical Review E, 95(4), 042401. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.042401