Events Calendar

Multi-scale integration and modularity in complex dynamical systems

Speaker: Artemy Kolchinsky, Santa Fe Institute

Talk Title: AI Seminar-Multi-scale integration and modularity in complex dynamical systems

Series: Artificial Intelligence Seminar

Abstract: I will discuss two novel approaches to studying distributed organization in complex dynamical systems. In the first [1], we define an information-theoretic measure of the strength of integration at multiple scales, where scale is defined according to an underlying distance metric. We show that our method generalizes several existing complexity measures and is tractable to compute. As demonstrated on human resting state fMRI time-series data, it also captures important aspects of integration in network- and spatially-embedded systems.
In the second approach [2], we address modularity, a pattern of organization in which a system is composed of weakly-coupled subsystems. We develop a technique to decompose dynamical systems based on the idea that modules constrain the spread of perturbations. The method captures variation of modular organization across different system states, time scales, and in response to different kinds of perturbations. It also offers a principled alternative to community detection applied to statistical-dependency networks (e.g. correlation matrices or "functional networks").

[1] A Kolchinsky, MP van den Heuvel, A Griffa, P Hagmann, LM Rocha, O Sporns and J Goñi, Multi-scale Integration and Predictability in Resting State Brain Activity, Frontiers Neuroinformatics, 2014. http://journal.frontiersin.org/article/10.3389/fninf.2014.00066/abstract

[2] A Kolchinsky, AJ Gates, and LM Rocha, Modularity and the spread of perturbations in complex dynamical systems, PRE, 2015. http://arxiv.org/abs/1509.04386




Biography: Artemy Kolchinsky received his PhD from the Center for Complex Systems and Networks, Dept of Informatics, Indiana University Bloomington in 2015. He is currently a postdoctoral fellow at the Santa Fe Institute, collaborating on projects involving optimal compression of dynamical systems as well as thermodynamic constraints on computation. He is broadly interested in novel methods for understanding multivariate dynamics in application to computational neuroscience, evolutionary biology, and other complex systems.


Host: Greg Ver Steeg

Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=f413ecae075e40eaa3f6b51123178b791d

Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=f413ecae075e40eaa3f6b51123178b791d

Audiences: Everyone Is Invited

Contact: Peter Zamar