brainpy.math.delayvars.NeuTimeDelay#

class brainpy.math.delayvars.NeuTimeDelay(delay_target, delay_len, before_t0=None, t0=0.0, dt=None, name=None, interp_method='linear_interp')[source]#

Neutral Time Delay. Alias of TimeDelay.

__init__(delay_target, delay_len, before_t0=None, t0=0.0, dt=None, name=None, interp_method='linear_interp')#

Methods

__init__(delay_target, delay_len[, ...])

load_states(filename[, verbose])

Load the model states.

nodes([method, level, include_self])

Collect all children nodes.

register_implicit_nodes(*nodes, **named_nodes)

register_implicit_vars(*variables, ...)

reset(delay_target, delay_len[, t0, before_t0])

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(time, value)

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

name

Name of the model.