three papers on recurrent networks

[Kenji Doya]

The following manuscripts have been placed in the Neuroprose archive.

	doya.universality.ps.Z:
	Universality of Fully-Connected Recurrent Neural Networks

	doya.bifurcation2.ps.Z:
	Bifurcations of Recurrent Neural Networks
	in Gradient Descent Learning

	doya.dimension.ps.Z:
	Dimension Reduction of Biological Neuron Models
	by Artificial Neural Networks

Please find the abstracts and retrieving instructions below.
Comments and questions are welcome.

Also, some of the figures in my older papers
	doya.bifurcation.ps.Z (1992 IEEE Symp. on Circuits and Systems)
	doya.synchronization.ps.Z (NIPS 4)
have been replaced. They caused printer errors in several sites.

Thanks to Jordan Pollack for maintaining this fast growing archive.

Kenji Doya     <doya at crayfish.ucsd.edu>
Department of Biology, University of California, San Diego
La Jolla, CA 92093-0322, USA
Phone: (619)534-3954/5548   Fax: (619)534-0301

****************************************************************

      Universality of Fully-Connected Recurrent Neural Networks
			   Kenji Doya, UCSD