Venn-networks

Venn networks are new artificial neural network architectures (i.e. they comprise the computational intelligence field, which is a branch of study of artificial intelligence). 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. 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). Inspired by the morpho-functional organization of the brain, Venn-networks allow: (i) use of different type of processing units – “cortical column”; (ii) specification of distinct regions within the network structure – “cortical area”; (iii) use of a wide variety of connection type – “nerve fiber” – among processing units; and, (iv) specification of a non-trivial connectivity based on the selection of fibers available. Venn-networks can be used for various simulations of physiological and pathological scenarios of brain functions.