234 citations · 234 across the 7 of their papers we have counts for
8 papers
Complexity synchronization as a diagnostic and control principle for adaptive systems
Korosh Mahmoodi, Scott E. Kerick, Piotr J. Franaszczuk +3
Adaptive systems can exhibit similar levels of performance while relying on fundamentally different internal modes of coordination. Standard metrics such as average cooperation or…
MapperEEG: A Topological Approach to Brain State Clustering in EEG Recordings
Brittany Story, Zhibin Zhou, Ramesh Srinivasan +3
Background: Topological data analysis (TDA) has exploded as a tool for analyzing and making sense of high dimensional datasets across a variety of fields. Mapper is a tool from TDA…
Complexity synchronization analysis of neurophysiological data: Theory and methods
Ioannis Schizas, Sabrina Sullivan, Scott E. Kerick +6
We apply modified diffusion entropy analysis (MDEA) to assess multifractal dimensions of ON time series (ONTS) and complexity synchronization (CS) analysis to infer information tra…
Complexity Control
Korosh Mahmoodi, Scott E. Kerick, Piotr J. Franaszczuk +2
We introduce a dynamic model for complexity control (CC) between systems, represented by time series characterized by different temporal complexity measures, as indicated by their…
Complexity Synchronization in Emergent Intelligence
Korosh Mahmoodi1, Scott E. Kerick, Piotr J. Franaszczuk1 +3
In this work, we use a simple multi-agent-based model (MABM), implementing selfish algorithm (SA) agents, to create an adaptive environment and show, using modified diffusion entro…
Complexity Synchronization
Korosh Mahmoodi, Scott E. Kerick, Paolo Grigolini +2
The observational ubiquity of inverse power law spectra (IPL) in complex phenomena entails theory for dynamic fractal phenomena capturing their fractal dimension, dynamics, and sta…