Venn-networks

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

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[edit] History

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

[edit] 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]


[edit] References

  1. ^ Buarque de Lima Neto, F. (2002). "Modeling Neural Processing Using Venn-networks in Phisiological and Phatological Scenarios (PhD Thesis - Imperial College, London, England)" (HTML). Retrieved on 2006-08-18.
  2. ^ Buarque de Lima Neto, F. (2002). "Modeling Neural Processing Using Venn-networks in Phisiological and Phatological Scenarios (PhD Thesis - Imperial College, London, England)" (HTM). Retrieved on 2006-08-18.

[edit] See also

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