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» Neural networks for computational neuroscience
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APPINF
2003
15 years 1 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
86
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IDA
2003
Springer
15 years 4 months ago
Similarity-Based Neural Networks for Applications in Computational Molecular Biology
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Igor Fischer
HIS
2004
15 years 1 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
IJON
2007
120views more  IJON 2007»
14 years 11 months 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...
ECAL
2005
Springer
15 years 5 months ago
Timescale and Stability in Adaptive Behaviour
Recently, in both the neuroscience and adaptive behaviour communities, there has been growing interest in the interplay of multiple timescales within neural systems. In particular,...
Christopher L. Buckley, Seth Bullock, Netta Cohen