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An Interpretative Recurrent Neural Network to improve learning capabilities
 

Summary: An Interpretative Recurrent Neural Network to
improve learning capabilities
Phase synchronization and chaotic dynamics
in Hebbian learned
artificial recurrent neural networks
- IJCNN 2005 Workshop -
Colin Molter Utku Salihoglu Hugues Bersini
Background
Seminal experiment (1987-Freeman): from analyses of
the rabbit's olfactory bulb
Brain is not confined to fixed point attractors dynamics
Link between cognitive or behavioral processes and brain
dynamics
In absence of information During an epilepsy seizure
Background
Encoding potential of random recurrent neural networks
in cyclic attractors:
Huge number of attractors
Link between the encoding potential and the presence of chaos
in the network

  

Source: Andras, Peter - School of Computing Science, University of Newcastle upon Tyne

 

Collections: Computer Technologies and Information Sciences