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BC
2006
83views more  BC 2006»
13 years 8 months ago
An Algorithmic Method for Reducing Conductance-based Neuron Models
Although conductance-based neural models provide a realistic depiction of neuronal activity, their complexity often limits effective implementation and analysis. Neuronal model red...
Michael E. Sorensen, Stephen P. DeWeerth
ICONIP
2009
13 years 5 months ago
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
Trust dynamics can be modelled in relation to experiences. Both cognitive and neural models for trust dynamics in relation to experiences are available, but were not yet related or...
S. Waqar Jaffry, Jan Treur
CADE
2004
Springer
14 years 8 months ago
Automatic Generation of Classification Theorems for Finite Algebras
Abstract. Classifying finite algebraic structures has been a major motivation behind much research in pure mathematics. Automated techniques have aided in this process, but this ha...
Simon Colton, Andreas Meier, Volker Sorge, Roy L. ...
KBSE
1998
IEEE
14 years 13 days ago
Planning Equational Verification in CCS
Most efforts to automate formal verification of communicating systems have centred around finite-state systems (FSSs). However, FSSs are incapable of modelling many practical comm...
Raul Monroy, Alan Bundy, Ian Green
ISEMANTICS
2010
13 years 9 months ago
SESAME demonstrator: ontologies, services and policies for energy efficiency
The project SESAME uses semantic modeling and reasoning to support home owners and building managers in saving energy and in optimizing their energy costs while maintaining their ...
Slobodanka Tomic, Anna Fensel, Tassilo Pellegrini