# Command: stdp_pl_synapse_hom

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Name:

    stdp_pl_synapse_hom - Synapse type for spike-timing dependent
      plasticity with power law implementation using homogeneous parameters, i.e.
      all synapses have the same parameters.

Description:

      stdp_pl_synapse is a connector to create synapses with spike time
      dependent plasticity (as defined in [1]).

Parameters:

      tau_plus  double	- Time constant of STDP window, potentiation in ms
      (tau_minus defined in post-synaptic neuron)
      lambda   double	- Learning rate
      alpha	 double	- Asymmetry parameter (scales depressing increments as
      alpha*lambda)
      mu	 double	- Weight dependence exponent, potentiation

Transmits:

    SpikeEvent

Remarks:

      The parameters can only be set by SetDefaults and apply to all synapses of
      the model.

References:

      [1] Morrison et al. (2007) Spike-timing dependent plasticity in balanced
      random networks. Neural Computation.

Author:

    Abigail Morrison

FirstVersion:

    May 2007

SeeAlso:

- synapsedict
- stdp_synapse
- tsodyks_synapse
- static_synapse

Source:

    /opt/conda/conda-bld/nest_1510213973486/work/nest-2.14.0/models/stdp_pl_connection_hom.h

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