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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
15 years 3 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
PREMI
2007
Springer
15 years 3 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
ISCAS
2006
IEEE
162views Hardware» more  ISCAS 2006»
15 years 3 months ago
Silicon neurons that phase-lock
Abstract—We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bu...
J. H. Wittig Jr., Kwabena Boahen
97
Voted
LCN
2006
IEEE
15 years 3 months ago
Clustered Mobility Model for Scale-Free Wireless Networks
— Recently, researchers have discovered that many of social, natural and biological networks are characterized by scale-free power-law connectivity distribution and a few densely...
Sunho Lim, Chansu Yu, Chita R. Das