Hello for the case of using bindsnet encoding methods, can someone please explain the particularities for the case its needed to encode a 1d simple vector, for example using import torch from bindsnet.encodings import encoding from bindsnet.analysis.plotting import plot_spikes a=torch.tensor([1,2,3,4,5], dtype=torch.float32) enc=encodings.single(a, time=5) plot_spikes({'enc':en}) Means that every value in tensor a is a column in enc represented by 5 length binary word? Please some explanation regarding plot_spikes axes Will be usefull. Thanks for your time. Continue reading...
