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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