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ICANN
2007
Springer
14 years 2 months ago
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying
Abstract. How can two distant neural assemblies synchronize their firings at zero-lag even in the presence of non-negligible delays in the transfer of information between them? He...
Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R...
TNN
1998
92views more  TNN 1998»
13 years 7 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
13 years 7 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
IJCNN
2006
IEEE
14 years 1 months ago
Knowledge Representation and Possible Worlds for Neural Networks
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Michael J. Healy, Thomas P. Caudell
NCA
1998
IEEE
13 years 7 months ago
A Neural Network Model of a Communication Network with Information Servers
This paper models information flow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly o...
Philippe De Wilde