# Command: ht_synapse

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Name:

    ht_synapse - Synapse with depression after Hill & Tononi (2005).

Description:

      This synapse implements the depression model described in [1, p 1678].
      See docs/model_details/HillTononi.ipynb for details.

      Synaptic dynamics are given by

      P'(t) = ( 1	- P ) / tau_P
      P(T+) = (1	- delta_P) P(T-)   for T : time of a spike
      P(t=0) = 1

      w(t) = w_max * P(t)  is the resulting synaptic weight

Parameters:

      The following parameters can be set in the status dictionary:
      tau_P   double	- synaptic vesicle pool recovery time constant [ms]
      delta_P  double	- fractional change in vesicle pool on incoming spikes
      [unitless]
      P	 double	- current size of the vesicle pool [unitless, 0 <= P <= 1]

Sends:

    SpikeEvent

References:

      [1] S Hill and G Tononi (2005). J Neurophysiol 93:1671-1698.

Author:

    Hans Ekkehard Plesser, based on markram_synapse

FirstVersion:

    March 2009

SeeAlso:

- ht_neuron
- tsodyks_synapse
- stdp_synapse
- static_synapse

Source:

    /opt/conda/conda-bld/nest_1524088722951/work/nest-2.14.0/models/ht_connection.h

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