pyphi.dynamics

Functions for simulating system state trajectories.

Functions

apply_clamp(clamp, state)
insert_clamp(clamp, state)
mean_dynamics(tpm[, repetitions, seed])	Return a sample of the dynamics averaged over all initial states.
most_probable_next_state(tpm, state)	Return the deterministic most-probable next state.
number_of_units(tpm)	Number of units of a state-by-node or explicit-alphabet ndarray TPM.
settle(tpm, initial_state, *[, clamp, max_steps])	Iterate the most-probable-transition map to a fixed point.
simulate(tpm[, initial_state, timesteps, ...])	Return a simulated timeseries of system states.