|  | Auryn simulator
    v0.8.1-206-gb56e451
    Plastic Spiking Neural Network Simulator | 

| Files | |
| file | mkpat.py | 
| file | sim_2comp_input.cpp | 
| file | sim_2comp_neuron.cpp | 
| Simulates multiple step currents of increasing amplitude to a NBG neuron. | |
| file | sim_background.cpp | 
| Simulation code based on the code used in Zenke et al. (2013). | |
| file | sim_bg_lowpass.cpp | 
| file | sim_bg_scaling.cpp | 
| file | sim_bg_scaling2.cpp | 
| file | sim_bg_static.cpp | 
| file | sim_brunel2k.cpp | 
| Implementation of the Brunel (2000) network as implemented in NEST. | |
| file | sim_brunel2k_pl.cpp | 
| Implementation of the Brunel (2000) network with added STDP as implemented in NEST. | |
| file | sim_coba_benchmark.cpp | 
| Simulation code for the Vogels Abbott benchmark following Brette et al. (2007) | |
| file | sim_coba_binmon.cpp | 
| file | sim_current_inject.cpp | 
| file | sim_current_steps.cpp | 
| Simulates multiple step currents of increasing amplitude to a neuron. | |
| file | sim_current_stim.cpp | 
| file | sim_delay_connection.cpp | 
| Example simulation illustrating the effect of delay connection. | |
| file | sim_dense.cpp | 
| file | sim_epsp.cpp | 
| Example simulation which simulates one Poisson input onto a single postsynaptic neuron and records the membrane potential. | |
| file | sim_epsp_binmon.cpp | 
| Example simulation which simulates one Poisson input onto a single postsynaptic neuron and records the membrane potential. | |
| file | sim_epsp_stp.cpp | 
| Example simulation which simulates one Poisson input with short-term plasticity onto a single postsynaptic neuron and records the membrane potential. | |
| file | sim_inputchannels.cpp | 
| Example simulation which records the spiking output of InputChannelGroup. | |
| file | sim_isp_big.cpp | 
| This simulation illustrates inhibitory synaptic plasticity as modeled in Vogels et al. (2011) in a larger 200k cell network. | |
| file | sim_isp_orig.cpp | 
| This simulation illustrates inhibitory synaptic plasticity as modeled in Vogels et al. (2011) | |
| file | sim_parrot.cpp | 
| Example simulation which illustrates the use of ParrotGroup. | |
| file | sim_poisson.cpp | 
| Example simulation which simulates a group of Poisson neurons. | |
| file | sim_poisson_input.cpp | 
| Simulates exc and inh Poisson inputs to a small population of AdEx neurons and records their membrane potentials. | |
| file | sim_srm0_steps.cpp | 
| Simulates multiple step currents of increasing amplitude to 100 SRM0 neurons. | |
| file | sim_stdp.cpp | 
| Example simulation of a single postsynaptic neuron with Poisson input and pair-based additive STDP. | |
| file | sim_step_current.cpp | 
| Example simulation which simulates a neuron during current step injection. | |
| file | sim_stim_group.cpp | 
| Example simulation which simulates one Poisson input onto a single postsynaptic neuron and records the membrane potential. | |
| file | sim_stim_homtriplet.cpp | 
| file | sim_stim_scaling.cpp | 
| file | sim_test.cpp | 
| Example simulation which simulates one Poisson input onto a single postsynaptic neuron and records the membrane potential. | |
| file | sim_tutorial1.cpp | 
| A minimal example for simulating a single AdEx neuron with excitatory Poisson input. | |
| file | sim_tutorial2.cpp | 
| A minimal example for simulating a balanced network model. | |
| file | sim_tutorial3.cpp | 
| A minimal example for simulating a plastic balanced network model. | |
 1.8.13
 1.8.13