hxtorch.spiking.utils.from_nir_data.EventData

class hxtorch.spiking.utils.from_nir_data.EventData(idx: numpy.ndarray, time: numpy.ndarray, n_neurons: int, t_max: float)

Bases: object

Event-based data represented as a list of spike indices and spike times.

Parameters

idx – Array of shape (n_samples, n_events) with neuron indices. If there is no event, the index is -1.
time – Array of shape (n_samples, n_events) with event times. If there is no event, the time is np.inf.
n_neurons – Total number of neurons in the layer.
t_max – Maximum time of the recording.

__init__(idx: numpy.ndarray, time: numpy.ndarray, n_neurons: int, t_max: float): Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(idx, time, n_neurons, t_max)	Initialize self.
`to_time_gridded`(dt)

Attributes