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Venn-network schematicView.jpg

Venn networks are ""artificial neural network architectures"" are new work in Artificial Intelligence.

Contents

History

Venn-networks were proposed by Fernando Buarque during his PhD under supervision of Philippe De Wilde at Imperial College LondonUniversity of LondonEngland, in 2002.

Brain Comparison

Venn-networks have the ability to mimic some brain function at the same time their internal activity resemble what is seen in functional imaging of the brain (i.e. brain imaging). Venn-networks can be used for various simulations of physiological and pathological scenarios of brain functions. Inspired by the morpho-functional organization of the brain, Venn-networks allow:

  1. use of different type of processing units – “cortical column”;
  2. specification of distinct regions within the network structure – “cortical area”;
  3. use of a wide variety of connection type – “nerve fiber” – among processing units; and,
  4. specification of a non-trivial connectivity based on the selection of fibers available. [1][2]

References

  1. ^ Buarque de Lima Neto, F. (2002) (HTML). Modeling Neural Processing Using Venn-networks in Phisiological and Phatological Scenarios (PhD Thesis - Imperial College, London, England). http://dsc.upe.br/~fbln/thesis/index.htm. Retrieved 2006-08-18.  
  2. ^ Buarque de Lima Neto, F. (2002) (HTM). Modeling Neural Processing Using Venn-networks in Phisiological and Phatological Scenarios (PhD Thesis - Imperial College, London, England). http://dsc.upe.br/~fbln/thesis/index.htm. Retrieved 2006-08-18.  

See also

External links

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