Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture

@inproceedings{Khouzam2011DiscoveringTP,
  title={Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture},
  author={Bassem Khouzam},
  year={2011}
}
This paper presents a self-organizing architecture made of several maps, implementing a recurrent neural network to cope with partial observations of the phase of some dynamical system. The purpose of self-organization is to set up a distributed representation of the actual phase, although the observations received from the system are ambiguous (i.e. the same observation may correspond to distinct phases). The setting up of such a representation is illustrated by experiments, and then the paper… CONTINUE READING