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» Information complexity of neural networks
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SSS
2009
Springer
115views Control Systems» more  SSS 2009»
15 years 11 months ago
How to Improve Snap-Stabilizing Point-to-Point Communication Space Complexity?
A snap-stabilizing protocol, starting from any configuration, always behaves according to its specification. In this paper, we are interested in message forwarding problem in a m...
Alain Cournier, Swan Dubois, Vincent Villain
BC
2008
89views more  BC 2008»
15 years 6 months ago
Complex evolution of spike patterns during burst propagation through feed-forward networks
Abstract Stable signal transmission is crucial for information processing by the brain. Synfire-chains, defined as feedforward networks of spiking neurons, are a well-studied class...
Jun-nosuke Teramae, Tomoki Fukai
NN
2002
Springer
122views Neural Networks» more  NN 2002»
15 years 6 months ago
Cellular, synaptic and network effects of neuromodulation
All network dynamics emerge from the complex interaction between the intrinsic membrane properties of network neurons and their synaptic connections. Nervous systems contain numer...
Eve Marder, Vatsala Thirumalai
IDA
2010
Springer
15 years 5 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
ICANN
2009
Springer
15 years 11 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch