232 citations · 364 across the 22 of their papers we have counts for
3 papers · 1 filter
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…
Quantum Persistent Homology for Time Series
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
Persistent homology, a powerful mathematical tool for data analysis, summarizes the shape of data through tracking topological features across changes in different scales. Classica…
Quantum Persistent Homology
Bernardo Ameneyro, Vasileios Maroulas, George Siopsis
Persistent homology is a powerful mathematical tool that summarizes useful information about the shape of data allowing one to detect persistent topological features while one adju…