Fig. 2: The application of the state-space kinetic Ising model to 12 simulated neurons. | Nature Communications

Fig. 2: The application of the state-space kinetic Ising model to 12 simulated neurons.

From: State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics

Fig. 2

A Simulated spike data for the first, 100th, and last trial out of 200 trials. The vertical axis shows the number of neurons, and the horizontal axis represents the number of bins. B Estimated coupling parameters θt∣T (solid lines), for all neurons and time bins (i = 1, 2,…, 12, t = 1,…, T). Shaded areas indicate 95% credible intervals, and dashed lines denote the true parameter values used to generate the data. These plots show only the couplings that are significantly deviated from zero: The couplings whose 95% credible interval contains 0 in all bins were excluded. For clarity, only five such significant incoming couplings from other neurons are shown in each panel. C Scatter plots comparing the true coupling parameters θt with the estimated values θt∣T at time t = 10, 20,…,60. The black line is a diagonal line.

Back to article page