Implementation of Neural Gas training in analog VLSI

@inproceedings{Ancona2002ImplementationON,
  title={Implementation of Neural Gas training in analog VLSI},
  author={Fabio Ancona and Stefano Rovetta and Rodolfo Zunino},
  year={2002}
}
The design and implementation of a vector quantization neural network is presented. The training algorithm is Neural Gas. The implementation is fully parallel and mainly analog (only control function and long-term memory are digital). A sequential implementation of the required sorting function allows to compute the Neural Gas updating step.