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» Some Structural Complexity Aspects of Neural Computation
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ISNN
2005
Springer
14 years 1 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ESANN
2004
13 years 9 months ago
Reducing connectivity by using cortical modular bands
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
ISCAS
2003
IEEE
153views Hardware» more  ISCAS 2003»
14 years 29 days ago
A VLSI model of range-tuned neurons in the bat echolocation system
The neural computations that support bat echolocation are of great interest to both neuroscientists and engineers, due to the complex and extremely time-constrained nature of the ...
Matthew Cheely, Timothy K. Horiuchi
ESANN
2006
13 years 9 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
14 years 2 months ago
Complex networks of simple neurons for bipedal locomotion
— Fluid bipedal locomotion remains a significant challenge for humanoid robotics. Recent bio-inspired approaches have made significant progress by using small numbers of tightl...
Brian F. Allen, Petros Faloutsos