SynConn

class brainpy.dyn.SynConn(pre, post, conn=None, name=None, mode=None)

Base class to model two-end synaptic connections.

Parameters:

• pre (DynamicalSystem) – Pre-synaptic neuron group.

• post (DynamicalSystem) – Post-synaptic neuron group.

• conn (Union[TwoEndConnector, TypeVar(ArrayType, Array, Variable, TrainVar, Array, ndarray), Dict[str, TypeVar(ArrayType, Array, Variable, TrainVar, Array, ndarray)]]) – The connection method between pre- and post-synaptic groups.

• name (Optional[str]) – The name of the dynamic system.

check_post_attrs(*attrs)

Check whether post group satisfies the requirement.

check_pre_attrs(*attrs)

Check whether pre group satisfies the requirement.

update(*args, **kwargs)

The function to specify the updating rule.

Assume any dynamical system depends on the shared variables (sha), like time variable t, the step precision dt, and the time step i.