brainpy.math.delayvars.NeuLenDelay#

class brainpy.math.delayvars.NeuLenDelay(delay_target, delay_len, initial_delay_data=None, name=None, batch_axis=None, update_method='rotation')[source]#

Neutral Length Delay. Alias of LengthDelay.

__init__(delay_target, delay_len, initial_delay_data=None, name=None, batch_axis=None, update_method='rotation')#

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, ...])

retrieve(delay_len, *indices)

Retrieve the delay data acoording to the delay length.

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(value)

Update delay variable with the new data.

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

delay_shape

The data shape of this delay variable.

delay_target_shape

The data shape of the delay target.

name

Name of the model.