| Name | DoubExpSyn |
| Status |
| Status of element in file |
| Stable
Contributor: Padraig Gleeson |
| Description |
| As described in ChannelML file |
| Simple example of a synaptic mechanism, which consists of a postsynaptic conductance which changes as
double exponential function of time. Mappings exist for NEURON and GENESIS. |
| Reference in NeuronDB |
Receptor properties
|
|
Synaptic Mechanism Model: Double Exponential Synapse
The model underlying the synaptic mechanism
|
| Expression for conductance |
|
G(t) = max_conductance * A * ( e-t/decay_time - e-t/rise_time ) for t >= 0
|
| |
| where the normalisation factor is: |
|
A =
|
1
|
|
e-peak_time / decay_time - e -peak_time / rise_time
|
| and the time to reach max conductance is: |
|
peak_time =
|
(decay_time * rise_time)/(decay_time - rise_time) * ln(decay_time/rise_time)
|
| |
| Note that if rise_time = 0 this simplifies to a single exponential synapse: |
|
G(t) = max_conductance * e-t/decay_time for t >= 0
|
| |
| Note also if decay_time = rise_time = alpha_time, the waveform is for an alpha synapse with peak at alpha_time: |
|
G(t) = max_conductance * (t/alpha_time) * e( 1 - t/alpha_time) for t >= 0
|
|
| Maximum conductance |
| The peak conductance which the synapse will reach |
| 1.0E-5 mS |
| Rise time |
| Characteristic time (tau) over which the double exponential synaptic conductance rises |
| 1 ms |
| Decay time |
| Characteristic time (tau) over which the double exponential synaptic conductance decays |
| 2 ms |
| Reversal potential |
| The effective reversal potential for the ion flow through the synapse when the conductance is non zero |
| 0 mV |
