Multimodal activation and deactivation patterns can be detected using SpikeShip.

(A) Multiple bimodal activation patterns and examples of realizations for each pattern (N = 50 neurons). Simulation parameters were pulse rate λin = 0.35 spks/sample, baseline rate λout = 0.05 spks/sample, epoch window length Tepoch = 300 samples and pulse length Tpulse = 20 samples. Bottom figures show sorted dissimilarity matrix and t-SNE for simulation with patterned noise (left) and homogeneous noise (right). (B) Multiple bimodal activation patterns and examples of realizations for each pattern (N = 50 neurons). Simulation parameters were λout = 0.02 spks/sample (i.e. the deactivation period), λin = 0.3 spks/sample, Tepoch = 300 and Tdeactivation = 150 samples. Bottom figures show sorted dissimilarity matrix and t-SNE for simulation with patterned noise (left) and homogeneous noise (right). (PDF)