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» Dynamic Analysis of Networks of Neural Oscillators
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BC
2005
65views more  BC 2005»
13 years 7 months ago
A field-theoretic approach to understanding scale-free neocortical dynamics
Amesoscopicfield-theoreticapproachiscompared with neural network and brain imaging approaches to understanding brain dynamics. Analysis of high spatiotemporal resolution rabbit ele...
Walter J. Freeman
AMC
2008
99views more  AMC 2008»
13 years 7 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ICRA
2006
IEEE
210views Robotics» more  ICRA 2006»
14 years 1 months ago
Programmable Central Pattern Generators: an Application to Biped Locomotion Control
— We present a system of coupled nonlinear oscillators to be used as programmable central pattern generators, and apply it to control the locomotion of a humanoid robot. Central ...
Ludovic Righetti, Auke Jan Ijspeert
IJCAI
1997
13 years 8 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
IJON
2006
123views more  IJON 2006»
13 years 7 months ago
Attractor neural networks with patchy connectivity
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that ...
Christopher Johansson, Martin Rehn, Anders Lansner