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NIPS
1998
15 years 5 months ago
Computational Differences between Asymmetrical and Symmetrical Networks
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
Zhaoping Li, Peter Dayan
NIPS
2000
15 years 5 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
INTERACT
1997
15 years 5 months ago
Eigen-Space Coding as a Means to Support Privacy in Computer Mediated Communication
The current solutions to disclosing privacy in computer-mediated communication are two-fold: either the connection is permitted and an audio-video link is opened providing a full-b...
Joëlle Coutaz, James L. Crowley, Franç...
BC
2006
63views more  BC 2006»
15 years 4 months ago
Dynamic neural field with local inhibition
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...
Nicolas P. Rougier
IM
2008
15 years 4 months ago
The Structure of Geographical Threshold Graphs
We analyze the structure of random graphs generated by the geographical threshold model. The model is a generalization of random geometric graphs. Nodes are distributed in space, a...
Milan Bradonjic, Aric A. Hagberg, Allon G. Percus