Davide Ghio

Latent kinetic Ising models of neural spike trains

SpiKIsing, a latent-variable model that separates a discrete-time asymmetric kinetic Ising model from a continuous-time, history-dependent point processes, is introduced, enabling joint inference of latent activity, network couplings, and emission parameters.