nngt.simulation.ActivityRecord (spike_data, …) |
Class to record the properties of the simulated activity. |
nngt.simulation.activity_types (…[, …]) |
Analyze the spiking pattern of a neural network. |
nngt.simulation.analyze_raster ([raster, …]) |
Return the activity types for a given raster. |
nngt.simulation.get_nest_adjacency ([…]) |
Get the adjacency matrix describing a NEST network. |
nngt.simulation.get_recording (network, record) |
Return the evolution of some recorded values for each neuron. |
nngt.simulation.make_nest_network (network[, …]) |
Create a new network which will be filled with neurons and connector objects to reproduce the topology from the initial network. |
nngt.simulation.monitor_groups (group_names, …) |
Monitoring the activity of nodes in the network. |
nngt.simulation.monitor_nodes (gids[, …]) |
Monitoring the activity of nodes in the network. |
nngt.simulation.plot_activity ([…]) |
Plot the monitored activity. |
nngt.simulation.randomize_neural_states (…) |
Randomize the neural states according to the instructions. |
nngt.simulation.raster_plot (times, senders) |
Plotting routine that constructs a raster plot along with an optional histogram. |
nngt.simulation.reproducible_weights (…[, …]) |
Find the values of the connection weights that will give PSP responses of min_weight and max_weight in mV. |
nngt.simulation.save_spikes (filename[, …]) |
Plot the monitored activity. |
nngt.simulation.set_minis (network, …[, …]) |
Mimick spontaneous release of neurotransmitters, called miniature PSCs or “minis” that can occur at excitatory (mEPSCs) or inhibitory (mIPSCs) synapses. |
nngt.simulation.set_noise (gids, mean, std) |
Submit neurons to a current white noise. |
nngt.simulation.set_poisson_input (gids, rate) |
Submit neurons to a Poissonian rate of spikes. |
nngt.simulation.set_step_currents (gids, …) |
Set step-current excitations |