Storing information through complex dynamics in recurrent neural networks

Storing information through complex dynamics in recurrent neural networks

The neural net computer simulations which will be presented here are based on the acceptance of a set of assumptions that for the last twenty years have been expressed in the fields of information processing, neurophysiology and cognitive sciences. First of all, neural networks and their dynamical b...

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Bibliographic Details
Main Author: Molter, Colin
Other Authors: Bersini, Hugues
Format: Doctoral Thesis
Language:fr
Published: Universite Libre de Bruxelles 2005
Subjects:
Sciences de l'ingénieur
Biologie
Neural networks (Computer science)
Coding theory
System theory
Chaotic behavior in systems
Réseaux neuronaux (Informatique)
Codage
Théorie des systèmes
Chaos
dynamical complexity
chaotic dynamics
data representation
dynamical system
Hebbian learning
electroencephalogram
brain like computation
recurrent neural network
neural network
coding information
Online Access:http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211039

Internet

http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211039

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