COBA

class brainpy.dyn.COBA(E, sharding=None, name=None, scaling=None)

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 (Union[float, TypeVar(ArrayType, Array, Variable, TrainVar, Array, ndarray)]) – The reversal potential.

• sharding (Optional[Sequence[str]]) – The axis names for variable for parallelization.

• name (Optional[str]) – The model name.

• scaling (Optional[Scaling]) – The scaling object.

See also

CUBA

update(conductance, potential)

The function to specify the updating rule.