Leaky

class brainpy.dyn.Leaky(size, sharding=None, keep_size=False, mode=None, name=None, tau=10.0, method='exp_auto', init_var=True)

Leaky Integrator Model.

Model Descriptions

This class implements a leaky model, in which its dynamics is given by:

\[x(t + \Delta t) = \exp{-\Delta t/\tau} x(t) + I\]

Parameters:

• tau (Union[float, TypeVar(ArrayType, Array, Variable, TrainVar, Array, ndarray), Callable]) – float, ArrayType, Initializer, callable. Membrane time constant.

• method (str) – str. The numerical integration method. Default “exp_auto”.

• init_var (bool) – Initialize the variable or not.

• size (Union[int, Sequence[int]]) – int, or sequence of int. The neuronal population size.

• sharding (Optional[Sequence[str]]) – The sharding strategy.

• keep_size (bool) – bool. Keep the neuron group size.

• mode (Optional[Mode]) – Mode. The computing mode.

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

supported_modes: Optional[Sequence[bm.Mode]] = (<class 'brainpy._src.math.modes.TrainingMode'>, <class 'brainpy._src.math.modes.NonBatchingMode'>)

Supported computing modes.

update(inp=None)

The function to specify the updating rule.