jaxsnn.event.modules.linear
Classes
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Event-driven projection module |
Functions
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jaxsnn.event.modules.linear.Linear(mean: float = 0.5, std: float = 2.0, min_delay: float = 0.0, pre_weights: Optional[jax.Array, None] = None) → jaxsnn.event.types.Projection Creates a Linear projection layer
- Either:
initialize weights from a Gaussian (mean, std), or
provide a concrete weight array.
- Parameters
mean – Mean of the Gaussian distribution for weight initialization.
std – Standard deviation of the Gaussian distribution.
min_delay – Minimum delay associated with this projection.
pre_weights – Optional weight array. If provided, mean and std are ignored.
- Returns
A Projection object containing the generator and parameters.