ht_synapse – Synapse with depression after Hill & Tononi (2005)

Description

This synapse implements the depression model described in [1], p 1678.

Synaptic dynamics are given by

\[\begin{split}P'(t) = ( 1 - P ) / \tau_P \\ P(T+) = (1 - \delta_P) P(T-) \text{ for T : time of a spike } \\ P(t=0) = 1\end{split}\]

\(w(t) = w_{max} \cdot P(t)\) is the resulting synaptic weight

For implementation details see: HillTononi_model

Warning

This synaptic plasticity rule does not take precise spike timing into account. When calculating the weight update, the precise spike time part of the timestamp is ignored.

Parameters

The following parameters can be set in the status dictionary:

tau_P

ms

Synaptic vesicle pool recovery time constant

delta_P

real

Fractional change in vesicle pool on incoming spikes (unitless)

P

real

Current size of the vesicle pool [unitless, 0 <= P <= 1]

References

Transmits

SpikeEvent

See also

Synapse, Hill-Tononi Plasticity

Examples using this model

None