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IJCNN
2006
IEEE
15 years 3 months ago
Durability of Affordable Neural Networks against Damages
— In this study, we address the durability of the brain, which is able to operate in various imperfect situations. In our previous research, we have proposed a new network struct...
Yoko Uwate, Yoshifumi Nishio, Ruedi Stoop
ECAL
1995
Springer
15 years 1 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
BMCBI
2010
219views more  BMCBI 2010»
14 years 4 months ago
BiologicalNetworks 2.0 - an integrative view of genome biology data
Background: A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the differe...
Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Am...
FPL
2008
Springer
125views Hardware» more  FPL 2008»
14 years 11 months ago
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dud...
IJCNN
2007
IEEE
15 years 4 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...