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161
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ESANN
2007
15 years 9 months ago
Sparsely-connected associative memory models with displaced connectivity
Abstract. Our work is concerned with finding optimum connection strategies in highperformance associative memory models. Taking inspiration from axonal branching in biological neur...
Lee Calcraft, Rod Adams, Neil Davey
209
Voted
ICANN
2010
Springer
15 years 8 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
203
Voted
BMCBI
2008
130views more  BMCBI 2008»
15 years 7 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
207
Voted
INFOCOM
1999
IEEE
15 years 12 months ago
A Model for Window Based Flow Control in Packet-Switched Networks
Recently, networks have increased rapidly both in scale and speed. Problems related to the control and management are of increasing interest. The average throughput and end-to-end ...
Xiaowei Yang
222
Voted
WSC
2008
15 years 10 months ago
Measuring the effectiveness of the s-metric to produce better network models
Recent research has shown that while many complex networks follow a power-law distribution for their node degrees, it is not sufficient to model these networks based only on their...
Isabel Beichl, Brian Cloteaux