brainpy.dyn.base.DynamicalSystem#

class brainpy.dyn.base.DynamicalSystem(name=None)[source]#

Base Dynamical System class.

Any object has step functions will be a dynamical system. That is to say, in BrainPy, the essence of the dynamical system is the “step functions”.

Parameters

name (str, optional) – The name of the dynamic system.

__init__(name=None)[source]#

Methods

__init__([name])

get_delay_data(name, delay_step, *indices)

Get delay data according to the provided delay steps.

ints([method])

Collect all integrators in this node and the children nodes.

load_states(filename[, verbose])

Load the model states.

nodes([method, level, include_self])

Collect all children nodes.

register_delay(name, delay_step, delay_target)

Register delay variable.

register_implicit_nodes(nodes)

register_implicit_vars(variables)

reset()

Reset function which reset the whole variables in the model.

save_states(filename[, variables])

Save the model states.

train_vars([method, level, include_self])

The shortcut for retrieving all trainable variables.

unique_name([name, type_])

Get the unique name for this object.

update(t, dt)

The function to specify the updating rule.

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

global_delay_targets

global_delay_vars

name

steps