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» Modeling spiking neural networks
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NN
2006
Springer
122views Neural Networks» more  NN 2006»
13 years 10 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ICANN
2010
Springer
13 years 8 months ago
Teaching Humanoids to Imitate 'Shapes' of Movements
Trajectory formation is one of the basic functions of the neuromotor controller. In particular, reaching, avoiding, controlling impacts (hitting), drawing, dancing and imitating ar...
Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri,...
NC
2010
137views Neural Networks» more  NC 2010»
13 years 4 months ago
On the regularity of circular splicing languages: a survey and new developments
Circular splicing has been introduced to model a specific recombinant behaviour of circular DNA, continuing the investigation initiated with linear splicing. In this paper we focu...
Paola Bonizzoni, Clelia de Felice, Gabriele Fici, ...
BMCBI
2006
123views more  BMCBI 2006»
13 years 10 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...