Conductance-based synaptic output.
Given the synaptic conductance, the model output the post-synaptic current with
\[I_{syn}(t) = g_{\mathrm{syn}}(t) (E - V(t))\]
- Parameters:
E (float, ArrayType, ndarray) – The reversal potential.
sharding (sequence of str) – The axis names for variable for parallelization.
name (str) – The model name.
scaling (brainpy.Scaling) – The scaling object.
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update(conductance, potential)[source]
The function to specify the updating rule.