Topological exploration of artificial neuronal network dynamics
Jean-Baptiste Bardin, Gard Spreemann, Kathryn P. Hess
The paper uses algebraic topology to classify artificial neuronal network dynamics by analyzing topological features from spike-train distances, showing improved classification accuracy with multiple distance measures.
Network Neuroscience · Jan 1, 2019Peer-reviewedNeuroscience