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IWANN
2001
Springer
14 years 4 days ago
Verifying Properties of Neural Networks
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
Pedro Rodrigues, José Félix Costa, H...
IJCNN
2000
IEEE
14 years 2 days ago
Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot
This paper presents biologically inspired neural controllers for generating motor patterns in a quadruped robot. Sets of arti cial neural networks are presented which provide 1 p...
Aude Billard, Auke Jan Ijspeert
EUROCAST
1997
Springer
85views Hardware» more  EUROCAST 1997»
13 years 12 months ago
Turing Universality of Neural Nets (Revisited)
We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. W...
João Pedro Guerreiro Neto, Hava T. Siegelma...
EVOW
2009
Springer
13 years 11 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
PAMI
2007
138views more  PAMI 2007»
13 years 7 months ago
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation
—We have previously developed a neurodynamical model of motion segregation in cortical visual area V1 and MT of the dorsal stream. The model explains how motion ambiguities cause...
Pierre Bayerl, Heiko Neumann