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» Neural Dynamics with Stochasticity
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87
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ACS
2004
15 years 20 days ago
A Categorical Approach to Threshold Agent Networks
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
George Voutsadakis
85
Voted
IJON
2000
48views more  IJON 2000»
15 years 18 days ago
Rethinking central pattern generators: A general approach
Central pattern generators (CPGs) have traditionally been modeled as sets of coupled bistable oscillators [2]. We present a framework for constructing models which avoid the short...
Chris Eliasmith, Charles H. Anderson
104
Voted
ML
1998
ACM
136views Machine Learning» more  ML 1998»
15 years 13 days ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
96
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PAAMS
2010
Springer
14 years 10 months ago
Assessing Knowledge Management in the Power Sector through a Connectionist Model
It has been proven that Artificial Intelligence, in general, and Artificial Neural Networks, in particular, can be successfully applied to problems in the field of Knowledge Manage...
Álvaro Herrero, Lourdes Cecilia Sáiz...
IJON
2007
120views more  IJON 2007»
15 years 21 days ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...