Computational Differences between Asymmetrical and Symmetrical Networks

@article{Li1998ComputationalDB,
  title={Computational Differences between Asymmetrical and Symmetrical Networks},
  author={Zhaoping Li and Peter Dayan},
  journal={Network},
  year={1998},
  volume={10 1},
  pages={59-77}
}
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at the very least because of the separation between excitatory and inhibitory neurons in the brain. We study characteristic differences between asymmetrical networks and their symmetrical counterparts in cases for which they act as selective amplifiers for particular classes of input patterns. We show that the… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

Neural Computation 10:903-940

  • Z Li
  • 1998
Highly Influential
7 Excerpts

Neural Networks 1:141-148

  • C von der Malsburg
  • 1988
Highly Influential
1 Excerpt

Neurons, Networks, and Motor Behavior

  • PSG Stein
  • 1997

Predictions of a recurrent model of orientation selectivity

  • M Carandini, L RingachD
  • Vision Res .
  • 1997

A model of multiplicative neural responses in parietal cortex

  • E Salinas, F AbbottÑL
  • Proc . Natl Acad . Sci . USA
  • 1996

Similar Papers

Loading similar papers…