Spike synchronization through subthreshold oscillation (BrodyHopfield.py) |
00:00.000 |
0.0 |
Campbell & Siegert approximation example (CampbellSiegert.py) |
00:00.000 |
0.0 |
Example of an AEIF neuron with multiple synaptic rise and decay time constants (aeif_cond_beta_multisynapse.py) |
00:00.000 |
0.0 |
Balanced neuron example (balancedneuron.py) |
00:00.000 |
0.0 |
Testing the adapting exponential integrate and fire model in NEST (Brette and Gerstner Fig 2C) (brette_gerstner_fig_2c.py) |
00:00.000 |
0.0 |
Testing the adapting exponential integrate and fire model in NEST (Brette and Gerstner Fig 3D) (brette_gerstner_fig_3d.py) |
00:00.000 |
0.0 |
Use evolution strategies to find parameters for a random balanced network (alpha synapses) (brunel_alpha_evolution_strategies.py) |
00:00.000 |
0.0 |
Random balanced network (alpha synapses) connected with NEST (brunel_alpha_nest.py) |
00:00.000 |
0.0 |
Random balanced network (delta synapses) (brunel_delta_nest.py) |
00:00.000 |
0.0 |
Random balanced network (exp synapses, multiple time constants) (brunel_exp_multisynapse_nest.py) |
00:00.000 |
0.0 |
Mean-field theory for random balanced network (brunel_siegert_nest.py) |
00:00.000 |
0.0 |
Clopath Rule: Bidirectional connections (clopath_synapse_small_network.py) |
00:00.000 |
0.0 |
Clopath Rule: Spike pairing experiment (clopath_synapse_spike_pairing.py) |
00:00.000 |
0.0 |
Correlospinmatrix detector example (correlospinmatrix_detector_two_neuron.py) |
00:00.000 |
0.0 |
Auto- and crosscorrelation functions for spike trains (cross_check_mip_corrdet.py) |
00:00.000 |
0.0 |
Using CSA for connection setup (csa_example.py) |
00:00.000 |
0.0 |
Using CSA with spatial populations (csa_spatial_example.py) |
00:00.000 |
0.0 |
Example for the quantal_stp_synapse (evaluate_quantal_stp_synapse.py) |
00:00.000 |
0.0 |
Example of the tsodyks2_synapse in NEST (evaluate_tsodyks2_synapse.py) |
00:00.000 |
0.0 |
Gap Junctions: Inhibitory network example (gap_junctions_inhibitory_network.py) |
00:00.000 |
0.0 |
Gap Junctions: Two neuron example (gap_junctions_two_neurons.py) |
00:00.000 |
0.0 |
Example network using generalized IAF neuron with postsynaptic conductances (gif_cond_exp_multisynapse.py) |
00:00.000 |
0.0 |
Population rate model of generalized integrate-and-fire neurons (gif_pop_psc_exp.py) |
00:00.000 |
0.0 |
Population of GIF neuron model with oscillatory behavior (gif_population.py) |
00:00.000 |
0.0 |
Conductance-based generalized leaky integrate and fire (GLIF) neuron example (glif_cond_neuron.py) |
00:00.000 |
0.0 |
Current-based generalized leaky integrate and fire (GLIF) neuron with double alpha synaptic function example (glif_psc_double_alpha_neuron.py) |
00:00.000 |
0.0 |
Current-based generalized leaky integrate and fire (GLIF) neuron example (glif_psc_neuron.py) |
00:00.000 |
0.0 |
Numerical phase-plane analysis of the Hodgkin-Huxley neuron (hh_phaseplane.py) |
00:00.000 |
0.0 |
Example using Hodgkin-Huxley neuron (hh_psc_alpha.py) |
00:00.000 |
0.0 |
Random balanced network HPC benchmark (hpc_benchmark.py) |
00:00.000 |
0.0 |
Short-term depression example (iaf_tum_2000_short_term_depression.py) |
00:00.000 |
0.0 |
Short-term facilitation example (iaf_tum_2000_short_term_facilitation.py) |
00:00.000 |
0.0 |
IF curve example (if_curve.py) |
00:00.000 |
0.0 |
Intrinsic currents spiking (intrinsic_currents_spiking.py) |
00:00.000 |
0.0 |
Intrinsic currents subthreshold (intrinsic_currents_subthreshold.py) |
00:00.000 |
0.0 |
Network of linear rate neurons (lin_rate_ipn_network.py) |
00:00.000 |
0.0 |
Multi-compartment neuron example (mc_neuron.py) |
00:00.000 |
0.0 |
Example of multimeter recording to file (multimeter_file.py) |
00:00.000 |
0.0 |
One neuron example (one_neuron.py) |
00:00.000 |
0.0 |
One neuron with noise (one_neuron_with_noise.py) |
00:00.000 |
0.0 |
Plot weight matrices example (plot_weight_matrices.py) |
00:00.000 |
0.0 |
Comparing precise and grid-based neuron models (precise_spiking.py) |
00:00.000 |
0.0 |
Pulse packet example (pulsepacket.py) |
00:00.000 |
0.0 |
Rate neuron decision making (rate_neuron_dm.py) |
00:00.000 |
0.0 |
Recording examples (recording_demo.py) |
00:00.000 |
0.0 |
Repeated Stimulation (repeated_stimulation.py) |
00:00.000 |
0.0 |
Sensitivity to perturbation (sensitivity_to_perturbation.py) |
00:00.000 |
0.0 |
Sinusoidal gamma generator example (sinusoidal_gamma_generator.py) |
00:00.000 |
0.0 |
Sinusoidal poisson generator example (sinusoidal_poisson_generator.py) |
00:00.000 |
0.0 |
Store and restore a network simulation (store_restore_network.py) |
00:00.000 |
0.0 |
Structural Plasticity example (structural_plasticity.py) |
00:00.000 |
0.0 |
Synapse Collection usage example (synapsecollection.py) |
00:00.000 |
0.0 |
IAF neuron example with current generator (testiaf.py) |
00:00.000 |
0.0 |
Two neuron example (twoneurons.py) |
00:00.000 |
0.0 |
Weight adaptation according to the Urbanczik-Senn plasticity (urbanczik_synapse_example.py) |
00:00.000 |
0.0 |
Initial membrane voltage (vinit_example.py) |
00:00.000 |
0.0 |