Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure
Lukas Großberger, Francesco Paolo Battaglia, Martin A. Vinck
This paper introduces SPOTDisClust, a method for detecting temporal spike patterns in neural ensembles, and applies it to identify moving stimulus directions from macaque V1 cortex data.
PLoS Computational Biology · Jul 6, 2018Peer-reviewedNeuroscience