tsodyks2_synapse – Synapse type with short term plasticity¶
Description¶
This synapse model implements synaptic short-term depression and short-term facilitation according to [1] and [2]. It solves Eq (2) from [1] and modulates U according to eq. (2) of [2].
This connection merely scales the synaptic weight, based on the spike history and the parameters of the kinetic model. Thus, it is suitable for all types of synaptic dynamics, that is current or conductance based.
The parameter A_se
from the publications is represented by the
synaptic weight. The variable x in the synapse properties is the
factor that scales the synaptic weight.
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.
See also [3].
Under identical conditions, the tsodyks2_synapse produces slightly lower peak amplitudes than the tsodyks_synapse. However, the qualitative behavior is identical. The script Example of the tsodyks2_synapse in NEST compares the two synapse models.
Parameters¶
The following parameters can be set in the status dictionary:
U |
real |
Parameter determining the increase in u with each spike (U1) [0,1], default = 0.5 |
u |
real |
The probability of release (U_se) [0,1], default = U |
x |
real |
Current scaling factor of the weight, default = 1.0 |
tau_fac |
ms |
Time constant for facilitation, default = 0 (off) |
tau_rec |
ms |
Time constant for depression, default = 800 |
References¶
Transmits¶
SpikeEvent
See also¶
tsodyks_synapse, stdp_synapse, static_synapse