Using persistent homology to reveal hidden information in neural data

Gard Spreemann, Benjamin Dunn, Magnus Bakke Botnan +1

We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates of neuron activity. Our input data consist of spike train measur…