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NABIC
2010
13 years 2 months ago
Predictive internal neural dynamics for delay compensation
Neural transmission delay may cause serious problems unless a compensation mechanism exists in the neural system. We showed previously that facilitating neural dynamics is a key me...
Jaerock Kwon, Yoonsuck Choe
NECO
2006
60views more  NECO 2006»
13 years 7 months ago
On the Computational Power of Threshold Circuits with Sparse Activity
Circuits composed of threshold gates (McCulloch-Pitts neurons, or perceptrons) are simplified models of neural circuits with the advan1
Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass
APPINF
2003
13 years 9 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
IJCAI
1989
13 years 8 months ago
Neural Computing on a One Dimensional SIMD Array
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
Stephen S. Wilson
IWINAC
2007
Springer
14 years 1 months ago
Morphisms of ANN and the Computation of Least Fixed Points of Semantic Operators
We consider a notion of morphism of neural networks and develop its properties. We show how, given any definite logic program P, the least fixed point of the immediate consequenc...
Anthony Karel Seda