Generating functionals for computational intelligence: the Fisher information as an objective function for self-limiting Hebbian learning rules

2 Oct 2014 Rodrigo Echeveste Claudius Gros

Generating functionals may guide the evolution of a dynamical system and constitute a possible route for handling the complexity of neural networks as relevant for computational intelligence. We propose and explore a new objective function, which allows to obtain plasticity rules for the afferent synaptic weights... (read more)

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