A learning rule for dynamic recruitment and decorrelation

@article{Krding2000ALR,
  title={A learning rule for dynamic recruitment and decorrelation},
  author={Konrad P. K{\"o}rding and Peter K{\"o}nig},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2000},
  volume={13 1},
  pages={1-9}
}
The interest in neuronal networks originates for a good part in the option not to construct, but to train them. The mechanisms governing synaptic modifications during such training are assumed to depend on signals locally available at the synapses. In contrast, the performance of a network is suitably measured on a global scale. Here we propose a learning rule that addresses this conflict. It is inspired by recent physiological experiments and exploits the interaction of inhibitory input and… CONTINUE READING