randman

Code to generate smooth random manifold datasets

If you find this code useful and use it for some of your work, please cite:

Zenke, F., and Vogels, T.P. (2021). The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. Neural Computation 1–27.

url: https://doi.org/10.1162/neco_a_01367

Bibtex:

@article{zenke_vogels_2021,
	title = {The {Remarkable} {Robustness} of {Surrogate} {Gradient} {Learning} for {Instilling} {Complex} {Function} in {Spiking} {Neural} {Networks}},
	issn = {0899-7667},
	url = {https://doi.org/10.1162/neco_a_01367},
	doi = {10.1162/neco_a_01367},
	journal = {Neural Computation},
	author = {Zenke, Friedemann and Vogels, Tim P.},
	month = jan,
	year = {2021},
	note = {Publisher: MIT Press},
	pages = {1--27},
}