Analog implementation of a Kohonen map with on-chip learning

@article{Macq1993AnalogIO,
  title={Analog implementation of a Kohonen map with on-chip learning},
  author={Damien Macq and Michel Verleysen and Paul G. A. Jespers and Jean-Didier Legat},
  journal={IEEE transactions on neural networks},
  year={1993},
  volume={4 3},
  pages={
          456-61
        }
}
Kohonen maps are self-organizing neural networks that classify and quantify n-dimensional data into a one- or two-dimensional array of neurons. Most applications of Kohonen maps use simulations on conventional computers, eventually coupled to hardware accelerators or dedicated neural computers. The small number of different operations involved in the combined learning and classification process, however, makes the Kohonen model particularly suited to a dedicated VLSI implementation, taking full… CONTINUE READING

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