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IWANN
2001
Springer
15 years 6 months 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
15 years 6 months 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
101
Voted
EUROCAST
1997
Springer
85views Hardware» more  EUROCAST 1997»
15 years 6 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...
114
Voted
EVOW
2009
Springer
15 years 6 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
125
Voted
PAMI
2007
138views more  PAMI 2007»
15 years 1 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