# Model directory: neuron¶

The model directory is organized and autogenerated by keywords (e.g., adaptive threshold, conductance-based etc.). Models that contain a specific keyword will be listed under that word. For more information on models, see our intro to NEST models.

## Clopath Plasticity¶

## Hill-Tononi Plasticity¶

## Hodgkin-Huxley¶

## 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¶

## Compartmental Model¶

## 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

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

## 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

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_psc_delta – Point process neuron with leaky integration of delta-shaped PSCs

## Device¶

## Gap Junction¶

## Generator¶

## 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

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

## Parrot¶

## Point Process¶

## Precise¶

## Rate¶

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