4 papers
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…
A Topological Deep Learning Framework for Neural Spike Decoding
Edward C. Mitchell, Brittany Story, David Boothe +2
The brain's spatial orientation system uses different neuron ensembles to aid in environment-based navigation. Two of the ways brains encode spatial information is through head dir…
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…
A novel method linking neural connectivity to behavioral fluctuations: Behavior-Regressed Connectivity
Antony D. Passaro, Jean M. Vettel, Jonathan McDaniel +3
Background: During an experimental session, behavioral performance fluctuates, yet most neuroimaging analyses of functional connectivity derive a single connectivity pattern. These…