hxtorch.spiking.transforms.encode.SpikeTimesToSparseTensor
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class
hxtorch.spiking.transforms.encode.SpikeTimesToSparseTensor(bin_width: float, size: int = 100) Bases:
torch.nn.modules.module.ModuleConvert spike times to a dense matrix of zeros and ones
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__init__(bin_width: float, size: int = 100) → None Initialize the conversion of spike times to a dense matrix of zeros and ones.
- Parameters
bin_width – Binning interval in seconds.
size – number of bins along time axis.
Methods
__init__(bin_width[, size])Initialize the conversion of spike times to a dense matrix of zeros and ones.
forward(spikes)Convert spike times to dense matrix of zeros and ones.
Attributes
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forward(spikes: torch.Tensor) → torch.Tensor Convert spike times to dense matrix of zeros and ones.
- Parameters
spikes – Spike times of shape ‘(color_channels, x0[, x1, …])’.
- Returns
Returns a dense matrix of shape ‘(time_bins, color_channels, x0[, x1, …])’.
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training: bool
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