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IJCNN
2000
IEEE
15 years 4 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
CORR
2008
Springer
148views Education» more  CORR 2008»
14 years 12 months ago
Conversion/Preference Games
We introduce the concept of Conversion/Preference Games, or CP games for short. CP games generalize the standard notion of strategic games. First we exemplify the use of CP games. ...
Stéphane Le Roux, Pierre Lescanne, Ren&eacu...
IJDMB
2007
119views more  IJDMB 2007»
14 years 11 months ago
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks
: Probabilistic Boolean Network (PBN) is widely used to model genetic regulatory networks. Evolution of the PBN is according to the transition probability matrix. Steady-state (lon...
Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya...
ISCAS
1999
IEEE
88views Hardware» more  ISCAS 1999»
15 years 4 months ago
An implantable mixed analog/digital neural stimulator circuit
Thispaperdescribes achipfor a multichannel neural stimulator for functional electrical stimulation. The chip performs all the signal processing required in an implanted neural sti...
Gunnar Gudnason, Erik Bruun, Morten Haugland
CSB
2003
IEEE
15 years 5 months ago
Fast and Accurate Probe Selection Algorithm for Large Genomes
The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research ...
Wing-Kin Sung, Wah-Heng Lee