# Command: stdp_dopamine_synapse

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Name:

    stdp_dopamine_synapse - Synapse type for dopamine-modulated
      spike-timing dependent plasticity.

Examples:

      /volume_transmitter Create /vol Set
      /iaf_psc_alpha Create /pre_neuron Set
      /iaf_psc_alpha Create /post_neuron Set
      /iaf_psc_alpha Create /neuromod_neuron Set
      /stdp_dopamine_synapse  << /vt vol >>  SetDefaults
      neuromod_neuron vol Connect
      pre_neuron post_neuron /stdp_dopamine_synapse Connect

Description:

      stdp_dopamine_synapse is a connection to create synapses with
      dopamine-modulated spike-timing dependent plasticity (used as a
      benchmark model in [1], based on [2]). The dopaminergic signal is a
      low-pass filtered version of the spike rate of a user-specific pool
      of neurons. The spikes emitted by the pool of dopamine neurons are
      delivered to the synapse via the assigned volume transmitter. The
      dopaminergic dynamics is calculated in the synapse itself.

Parameters:

      Common properties:
      vt	 long  	- ID of volume_transmitter collecting the spikes
      from the pool of dopamine releasing neurons and
      transmitting the spikes to the synapse. A value of
      -1 indicates that no volume transmitter has been
      assigned.
      A_plus   double	- Amplitude of weight change for facilitation
      A_minus   double	- Amplitude of weight change for depression
      tau_plus  double	- STDP time constant for facilitation in ms
      tau_c	 double	- Time constant of eligibility trace in ms
      tau_n	 double	- Time constant of dopaminergic trace in ms
      b	 double	- Dopaminergic baseline concentration
      Wmin	 double	- Minimal synaptic weight
      Wmax	 double	- Maximal synaptic weight

      Individual properties:
      c	 double	- eligibility trace
      n	 double	- neuromodulator concentration

Transmits:

    SpikeEvent

Remarks:

     	- based on an earlier version by Wiebke Potjans
     	- major changes to code after code revision in Apr 2013

References:

      [1] Potjans W, Morrison A and Diesmann M (2010). Enabling
      functional neural circuit simulations with distributed
      computing of neuromodulated plasticity.
      Front. Comput. Neurosci. 4:141. doi:10.3389/fncom.2010.00141
      [2] Izhikevich, E.M. (2007). Solving the distal reward problem
      through linkage of STDP and dopamine signaling. Cereb. Cortex,
      17(10), 2443-2452.

Author:

    Susanne Kunkel

SeeAlso:

- volume_transmitter

Source:

    /opt/conda/conda-bld/nest_1510212701067/work/nest-2.14.0/models/stdp_dopa_connection.h

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