PrefetchDelayAt

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PrefetchDelayAt#

class brainstate.nn.PrefetchDelayAt(module, item, *time_and_index, delay_init=None, interpolation=None, update_every=None, **kwargs)[source]#

Provides access to a specific delayed state or variable value at the specific time.

This class represents the final step in the prefetch delay chain, providing actual access to state values at a specific delay time. It converts the specified time delay into steps and registers the delay with the appropriate StateWithDelay handler.

Parameters:

  • module (Dynamics) – The dynamics module that contains the referenced state or variable.

  • item (str) – The name of the state or variable to access with delay.

  • time (ArrayLike) – The amount of time to delay access by, typically in time units (e.g., milliseconds).

Examples

>>> import brainpy
>>> import brainstate
>>> import brainunit as u
>>> neuron = brainpy.state.LIF(10)
>>> # Create a reference to voltage delayed by 5ms
>>> delayed_v = PrefetchDelayAt(neuron, 'V', 5.0 * u.ms)
>>> # Get the delayed value
>>> v_value = delayed_v()
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