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NIPS
2004
15 years 8 months ago
Synchronization of neural networks by mutual learning and its application to cryptography
Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cr...
Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas...
ISMB
1994
15 years 8 months ago
Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
John M. Heumann, Alan S. Lapedes, Gary D. Stormo
NECO
2008
84views more  NECO 2008»
15 years 6 months ago
Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neur
The synchronous firing of neurons in a pulse coupled neural network composed of excitatory and inhibitory neurons is analyzed. The neurons are connected by both chemical synapses ...
Takashi Kanamaru, Kazuyuki Aihara
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
16 years 1 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
ECML
2007
Springer
16 years 23 days ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski