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ICANN
2010
Springer
13 years 8 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
SSS
2007
Springer
14 years 1 months ago
Stabilization of Flood Sequencing Protocols in Sensor Networks
Flood is a communication primitive that can be used by the base station of a sensor network to send a copy of a message to every sensor in the network. When a sensor receives a fl...
Young-ri Choi, Mohamed G. Gouda
ICSE
2009
IEEE-ACM
14 years 8 months ago
Analyzing critical process models through behavior model synthesis
Process models capture tasks performed by agents together with their control flow. Building and analyzing such models is important but difficult in certain areas such as safety-cr...
Christophe Damas, Bernard Lambeau, Francois Roucou...
OOPSLA
2007
Springer
14 years 1 months ago
Synthesizing reactive systems from LSC requirements using the play-engine
Live Sequence Charts (LSCs) is a scenario-based language for modeling object-based reactive systems with liveness properties. A tool called the Play-Engine allows users to create ...
Hillel Kugler, Cory Plock, Amir Pnueli
CMSB
2004
Springer
14 years 24 days ago
Combining State-Based and Scenario-Based Approaches in Modeling Biological Systems
Biological systems have recently been shown to share many of the properties of reactive systems. This observation has led to the idea of using methods devised for the construction ...
Jasmin Fisher, David Harel, E. Jane Albert Hubbard...