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Model Directory¶
Hodgkin-Huxley¶
MUSIC¶
music_cont_in_proxy – A device which receives continuous data from MUSIC
music_cont_out_proxy – A device which sends continuous data from NEST to MUSIC
music_event_in_proxy – A device which receives spikes from MUSIC
music_event_out_proxy – Device to forward spikes to remote applications using MUSIC
music_message_in_proxy – A device which receives message strings from MUSIC
music_rate_in_proxy – A device which receives rate data from MUSIC
music_rate_out_proxy – Device to forward rates to remote applications using MUSIC
Adaptive Threshold¶
aeif_cond_alpha – Conductance based exponential integrate-and-fire neuron model
aeif_cond_beta_multisynapse – Conductance based adaptive exponential integrate-and-fire neuron model
aeif_cond_exp – Conductance based exponential integrate-and-fire neuron model
aeif_psc_alpha – Current-based exponential integrate-and-fire neuron model
aeif_psc_delta_clopath – Adaptive exponential integrate-and-fire neuron
aeif_psc_exp – Current-based exponential integrate-and-fire neuron model
Binary¶
Conductance-Based¶
aeif_cond_alpha – Conductance based exponential integrate-and-fire neuron model
aeif_cond_beta_multisynapse – Conductance based adaptive exponential integrate-and-fire neuron model
aeif_cond_exp – Conductance based exponential integrate-and-fire neuron model
gif_cond_exp – Conductance-based generalized integrate-and-fire neuron model
glif_cond – Conductance-based generalized leaky integrate and fire (GLIF) model
hh_cond_exp_traub – Hodgkin-Huxley model for Brette et al (2007) review
iaf_cond_alpha – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_alpha_mc – Multi-compartment conductance-based leaky integrate-and-fire neuron model
iaf_cond_beta – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_exp – Simple conductance based leaky integrate-and-fire neuron model
pp_cond_exp_mc_urbanczik – Two-compartment point process neuron with conductance-based synapses
Continuous Delay¶
Current-Based¶
aeif_psc_alpha – Current-based exponential integrate-and-fire neuron model
aeif_psc_delta_clopath – Adaptive exponential integrate-and-fire neuron
aeif_psc_exp – Current-based exponential integrate-and-fire neuron model
gif_psc_exp – Current-based generalized integrate-and-fire neuron model
glif_psc – Current-based generalized leaky integrate-and-fire models
hh_psc_alpha_clopath – Hodgkin-Huxley neuron model with support for Clopath plasticity
hh_psc_alpha_gap – Hodgkin-Huxley neuron model with gap-junction support
iaf_psc_alpha_multisynapse – Leaky integrate-and-fire neuron model with multiple ports
iaf_psc_exp – Leaky integrate-and-fire neuron model with exponential PSCs
pp_pop_psc_delta – Population of point process neurons with leaky integration of delta-shaped PSCs
pp_psc_delta – Point process neuron with leaky integration of delta-shaped PSCs
Detector¶
correlation_detector – Device for evaluating cross correlation between two spike sources
correlomatrix_detector – Device for measuring the covariance matrix from several inputs
correlospinmatrix_detector – Device for measuring the covariance matrix from several inputs
spin_detector – Device for detecting binary states in neurons
Device¶
correlation_detector – Device for evaluating cross correlation between two spike sources
correlomatrix_detector – Device for measuring the covariance matrix from several inputs
correlospinmatrix_detector – Device for measuring the covariance matrix from several inputs
gamma_sup_generator – Simulate the superimposed spike train of a population of gamma processes
inhomogeneous_poisson_generator – Provides Poisson spike trains at a piecewise constant rate
mip_generator – Create spike trains as described by the MIP model
music_cont_in_proxy – A device which receives continuous data from MUSIC
music_cont_out_proxy – A device which sends continuous data from NEST to MUSIC
music_event_in_proxy – A device which receives spikes from MUSIC
music_event_out_proxy – Device to forward spikes to remote applications using MUSIC
music_message_in_proxy – A device which receives message strings from MUSIC
music_rate_in_proxy – A device which receives rate data from MUSIC
music_rate_out_proxy – Device to forward rates to remote applications using MUSIC
poisson_generator – Generate spikes with Poisson process statistics
pulsepacket_generator – Generate sequence of Gaussian pulse packets
sinusoidal_gamma_generator – Generates sinusoidally modulated gamma spike trains
sinusoidal_poisson_generator – Generate sinusoidally modulated Poisson spike trains
spike_dilutor – Repeat incoming spikes with a certain probability
spike_generator – Generate spikes from an array with spike-times
spin_detector – Device for detecting binary states in neurons
step_current_generator – Provide a piecewise constant DC input current
step_rate_generator – Provide a piecewise constant input rate
volume_transmitter – Support node for neuromodulated synaptic plasticity
Generator¶
gamma_sup_generator – Simulate the superimposed spike train of a population of gamma processes
inhomogeneous_poisson_generator – Provides Poisson spike trains at a piecewise constant rate
mip_generator – Create spike trains as described by the MIP model
poisson_generator – Generate spikes with Poisson process statistics
pulsepacket_generator – Generate sequence of Gaussian pulse packets
sinusoidal_gamma_generator – Generates sinusoidally modulated gamma spike trains
sinusoidal_poisson_generator – Generate sinusoidally modulated Poisson spike trains
spike_dilutor – Repeat incoming spikes with a certain probability
spike_generator – Generate spikes from an array with spike-times
step_current_generator – Provide a piecewise constant DC input current
step_rate_generator – Provide a piecewise constant input rate
volume_transmitter – Support node for neuromodulated synaptic plasticity
Instantaneous Rate¶
Integrate-And-Fire¶
aeif_cond_alpha – Conductance based exponential integrate-and-fire neuron model
aeif_cond_beta_multisynapse – Conductance based adaptive exponential integrate-and-fire neuron model
aeif_cond_exp – Conductance based exponential integrate-and-fire neuron model
aeif_psc_alpha – Current-based exponential integrate-and-fire neuron model
aeif_psc_delta_clopath – Adaptive exponential integrate-and-fire neuron
aeif_psc_exp – Current-based exponential integrate-and-fire neuron model
gif_cond_exp – Conductance-based generalized integrate-and-fire neuron model
gif_psc_exp – Current-based generalized integrate-and-fire neuron model
glif_cond – Conductance-based generalized leaky integrate and fire (GLIF) model
glif_psc – Current-based generalized leaky integrate-and-fire models
iaf_chs_2007 – Spike-response model used in Carandini et al. 2007
iaf_cond_alpha – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_alpha_mc – Multi-compartment conductance-based leaky integrate-and-fire neuron model
iaf_cond_beta – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_exp – Simple conductance based leaky integrate-and-fire neuron model
iaf_psc_alpha_multisynapse – Leaky integrate-and-fire neuron model with multiple ports
iaf_psc_exp – Leaky integrate-and-fire neuron model with exponential PSCs
iaf_psc_exp_multisynapse – Leaky integrate-and-fire neuron model with multiple ports
Neuron¶
aeif_cond_alpha – Conductance based exponential integrate-and-fire neuron model
aeif_cond_beta_multisynapse – Conductance based adaptive exponential integrate-and-fire neuron model
aeif_cond_exp – Conductance based exponential integrate-and-fire neuron model
aeif_psc_alpha – Current-based exponential integrate-and-fire neuron model
aeif_psc_delta_clopath – Adaptive exponential integrate-and-fire neuron
aeif_psc_exp – Current-based exponential integrate-and-fire neuron model
erfc_neuron – Binary stochastic neuron with complementary error function as activation function
gif_cond_exp – Conductance-based generalized integrate-and-fire neuron model
gif_psc_exp – Current-based generalized integrate-and-fire neuron model
ginzburg_neuron – Binary stochastic neuron with sigmoidal activation function
hh_cond_exp_traub – Hodgkin-Huxley model for Brette et al (2007) review
hh_psc_alpha_clopath – Hodgkin-Huxley neuron model with support for Clopath plasticity
hh_psc_alpha_gap – Hodgkin-Huxley neuron model with gap-junction support
iaf_chs_2007 – Spike-response model used in Carandini et al. 2007
iaf_cond_alpha – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_alpha_mc – Multi-compartment conductance-based leaky integrate-and-fire neuron model
iaf_cond_beta – Simple conductance based leaky integrate-and-fire neuron model
iaf_cond_exp – Simple conductance based leaky integrate-and-fire neuron model
iaf_psc_alpha_multisynapse – Leaky integrate-and-fire neuron model with multiple ports
iaf_psc_exp – Leaky integrate-and-fire neuron model with exponential PSCs
iaf_psc_exp_multisynapse – Leaky integrate-and-fire neuron model with multiple ports
mcculloch_pitts_neuron – Binary deterministic neuron with Heaviside activation function
parrot_neuron_ps – Neuron that repeats incoming spikes - precise spike timing version
pp_cond_exp_mc_urbanczik – Two-compartment point process neuron with conductance-based synapses
pp_pop_psc_delta – Population of point process neurons with leaky integration of delta-shaped PSCs
pp_psc_delta – Point process neuron with leaky integration of delta-shaped PSCs
rate_neuron_ipn – Base class for rate model with input noise
rate_neuron_opn – Base class for rate model with output noise
siegert_neuron – model for mean-field analysis of spiking networks
sigmoid_rate – Rate neuron model with sigmoidal gain function
sigmoid_rate_gg_1998 – rate model with sigmoidal gain function
tanh_rate – rate model with hyperbolic tangent non-linearity
threshold_lin_rate – Rate model with threshold-linear gain function
Rate¶
music_rate_in_proxy – A device which receives rate data from MUSIC
music_rate_out_proxy – Device to forward rates to remote applications using MUSIC
rate_connection_delayed – Synapse type for rate connections with delay
rate_connection_instantaneous – Synapse type for instantaneous rate connections
rate_neuron_ipn – Base class for rate model with input noise
rate_neuron_opn – Base class for rate model with output noise
siegert_neuron – model for mean-field analysis of spiking networks
sigmoid_rate – Rate neuron model with sigmoidal gain function
sigmoid_rate_gg_1998 – rate model with sigmoidal gain function
step_rate_generator – Provide a piecewise constant input rate
tanh_rate – rate model with hyperbolic tangent non-linearity
threshold_lin_rate – Rate model with threshold-linear gain function
Short-Term Plasticity¶
Spike-Timing-Dependent Plasticity¶
clopath_synapse – Synapse type for voltage-based STDP after Clopath
jonke_synapse – Synapse type for spike-timing dependent plasticity with additional additive factors.
stdp_dopamine_synapse – Synapse type for dopamine-modulated spike-timing dependent plasticity
stdp_pl_synapse_hom – Synapse type for spike-timing dependent plasticity with power law
stdp_synapse – Synapse type for spike-timing dependent plasticity
stdp_synapse_hom – Synapse type for spike-timing dependent plasticity using homogeneous parameters
stdp_triplet_synapse – Synapse type with spike-timing dependent plasticity (triplets)
urbanczik_synapse – Synapse type for a plastic synapse after Urbanczik and Senn
Static¶
Stimulation Backend¶
Synapse¶
bernoulli_synapse – Static synapse with stochastic transmission
clopath_synapse – Synapse type for voltage-based STDP after Clopath
ht_synapse – Synapse with depression after Hill & Tononi (2005)
jonke_synapse – Synapse type for spike-timing dependent plasticity with additional additive factors.
quantal_stp_synapse – Probabilistic synapse model with short term plasticity
rate_connection_delayed – Synapse type for rate connections with delay
rate_connection_instantaneous – Synapse type for instantaneous rate connections
static_synapse_hom_w – Synapse type for static connections with homogeneous weight
stdp_dopamine_synapse – Synapse type for dopamine-modulated spike-timing dependent plasticity
stdp_pl_synapse_hom – Synapse type for spike-timing dependent plasticity with power law
stdp_synapse – Synapse type for spike-timing dependent plasticity
stdp_synapse_hom – Synapse type for spike-timing dependent plasticity using homogeneous parameters
stdp_triplet_synapse – Synapse type with spike-timing dependent plasticity (triplets)
tsodyks_synapse_hom – Synapse type with short term plasticity using homogeneous parameters
urbanczik_synapse – Synapse type for a plastic synapse after Urbanczik and Senn