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Paper
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F. {Paredes Valles}, K. Scheper, and G. {de Croon}, “Unsupervised learning of a hierarchical spiking neural network for optical flow estimation: from events to global motion perception,” Ieee transactions on pattern analysis and machine intelligence, vol. 42 (2020), iss. 8, p. 2051–2064, 2019.
[Bibtex]@article{160fcfa507614338ba72f8cf914add6a, author = {{Paredes Valles}, Fede and Kirk Scheper and {de Croon}, Guido}, doi = {10.1109/TPAMI.2019.2903179}, issn = {0162-8828}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, keywords = {Event-based vision, Feature extraction, Motion detection, Neural nets, Neuromorphic computing, Unsupervised learning}, language = {English}, month = {March}, number = {8}, pages = {2051--2064}, publisher = {IEEE }, title = {Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception}, url = {https://research.tudelft.nl/en/publications/unsupervised-learning-of-a-hierarchical-spiking-neural-network-fo}, volume = {42 (2020)}, year = {2019} }
Code
cuSNN is available on GitHub via the following link: