Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps

Schulz and Reggia. "Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps." Neural Computation, 2004. doi:10.1162/089976604772744901

[Schulz and Reggia. "Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps." Neural Computation, 2004.](https://mlanthology.org/neco/2004/schulz2004neco-temporally/) doi:10.1162/089976604772744901

@article{schulz2004neco-temporally,
  title     = {{Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps}},
  author    = {Schulz, Reiner and Reggia, James A.},
  journal   = {Neural Computation},
  year      = {2004},
  pages     = {535-561},
  doi       = {10.1162/089976604772744901},
  volume    = {16},
  url       = {https://mlanthology.org/neco/2004/schulz2004neco-temporally/}
}