Scalable and accurate method for neuronal ensemble detection in spiking neural networks
Date Issued
2021-07
Author(s) USM
DOI
10.1371/journal.pone.0251647
Abstract
We propose a novel, scalable, and accurate method for detecting neuronal ensembles from a population of spiking neurons. Our approach offers a simple yet powerful tool to study ensemble activity. It relies on clustering synchronous population activity (po
