Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints

@inproceedings{Habenschuss2012HomeostaticPI,
  title={Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints},
  author={Stefan Habenschuss and Johannes Bill and Bernhard Nessler},
  booktitle={NIPS},
  year={2012}
}
Recent spiking network models of Bayesian inference and unsupervised learning frequently assume either inputs to arrive in a special format or employ complex computations in neuronal activation functions and synaptic plasticity rules. Here we show in a rigorous mathematical treatment how homeostatic processes, which have previously received little attention in this context, can overcome common theoretical limitations and facilitate the neural implementation and performance of existing models… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations