brainpy.dyn.base.DynamicalSystem
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.
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.
reset_delay
(name, delay_target)Reset the delay variable.
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.
update_delay
(name, delay_data)Update the delay according to the delay data.
vars
([method, level, include_self])Collect all variables in this node and the children nodes.
Attributes
global_delay_vars
name
steps