nstat.NetworkSimulationResult

class nstat.NetworkSimulationResult(time: 'np.ndarray', latent_drive: 'np.ndarray', lambda_delta: 'np.ndarray', spikes: 'SpikeTrainCollection', actual_network: 'np.ndarray', history_kernel: 'np.ndarray', stimulus_kernel: 'np.ndarray', ensemble_kernel: 'np.ndarray', baseline_mu: 'np.ndarray', eta: 'np.ndarray | None' = None, history_effect: 'np.ndarray | None' = None, ensemble_effect: 'np.ndarray | None' = None, spike_indicator: 'np.ndarray | None' = None, uniform_values: 'np.ndarray | None' = None)[source]

Bases: object

Parameters:

time (ndarray)
latent_drive (ndarray)
lambda_delta (ndarray)
spikes (SpikeTrainCollection)
actual_network (ndarray)
history_kernel (ndarray)
stimulus_kernel (ndarray)
ensemble_kernel (ndarray)
baseline_mu (ndarray)
eta (ndarray | None)
history_effect (ndarray | None)
ensemble_effect (ndarray | None)
spike_indicator (ndarray | None)
uniform_values (ndarray | None)

__init__(time, latent_drive, lambda_delta, spikes, actual_network, history_kernel, stimulus_kernel, ensemble_kernel, baseline_mu, eta=None, history_effect=None, ensemble_effect=None, spike_indicator=None, uniform_values=None)

Parameters:

time (ndarray)
latent_drive (ndarray)
lambda_delta (ndarray)
spikes (SpikeTrainCollection)
actual_network (ndarray)
history_kernel (ndarray)
stimulus_kernel (ndarray)
ensemble_kernel (ndarray)
baseline_mu (ndarray)
eta (ndarray | None)
history_effect (ndarray | None)
ensemble_effect (ndarray | None)
spike_indicator (ndarray | None)
uniform_values (ndarray | None)

Return type:

None

time: ndarray

latent_drive: ndarray

lambda_delta: ndarray

spikes: SpikeTrainCollection

actual_network: ndarray

history_kernel: ndarray

stimulus_kernel: ndarray

ensemble_kernel: ndarray

baseline_mu: ndarray

eta: ndarray | None = None

history_effect: ndarray | None = None

ensemble_effect: ndarray | None = None

spike_indicator: ndarray | None = None

uniform_values: ndarray | None = None