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NIPS
2003
13 years 8 months ago
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
A balanced network leads to contradictory constraints on memory models, as exemplified in previous work on accommodation of synfire chains. Here we show that these constraints can...
Yuval Aviel, David Horn, Moshe Abeles
IJON
2006
67views more  IJON 2006»
13 years 7 months ago
Robust persistent activity in neural fields with asymmetric connectivity
Modeling studies have shown that recurrent interactions within neural networks are capable of self-sustaining non-uniform activity profiles. These patterns are thought to be the n...
Cláudia Horta, Wolfram Erlhagen
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 8 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
APBC
2004
116views Bioinformatics» more  APBC 2004»
13 years 8 months ago
Evolving Genetic Regulatory Networks Using an Artificial Genome
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
Jennifer Hallinan, Janet Wiles
UAI
1996
13 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon