jaxsnn.event.from_nir_data
Translate NIRGraphData to a jaxsnn-compatible spike representation.
Classes
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Dictionary of NIRNodeData where each entry represents a NIRNode of a corresponding NIRGraph with its observables. |
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Dictionary of EventData or TimeGriddedData where each entry represents an observable (e.g., spikes, voltages) of a corresponding NIRNode |
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Time gridded data of shape (n_samples, n_time_steps, n_neurons) with binary entries (0 or 1) indicating whether a neuron spiked at a particular time step dt. |
Functions
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jaxsnn.event.from_nir_data.from_nir_data(nir_graph_data: nir.data_ir.graph.NIRGraphData, jaxsnn_model) → Dict[str, jaxsnn.event.types.EventPropSpike] Convert NIRGraphData to a dict of EventPropSpikes (jax-snn representation)
A linear noise is added on the spike times if the incoming data is time-gridded.