Venn-like models of neo-cortex patches

— This work presents a new architecture of artificial neural networks – Venn Networks, which produce localized activations in a 2D map while executing simple cognitive tasks. These activations resemble the ones observed in patches of the cerebral cortex when inspected by functional imaging methods such as fMRI. Venn-networks allow simultaneous incorporation of four distinct and independent concepts, all present in biological neural network. These concepts are (a) cyto-architectonic regions, (b) localization of functional activations, (c) complex pattern of intra/interregional connectivity, and (d) definable damages to the neurons and axons. The dynamics of Venn-networks is highly influenced by these concepts. The proposed architecture incorporates both unsupervised and supervised learning paradigms; it also implements open and closed loops that can be assembled with afferent, efferent and U-fiber type of connections. Venn-networks were devised to integrate in one single model the t...

• Type: Conference
• Year: 2006
• Where: IJCNN
• Authors: Fernando Buarque de Lima Neto, Philippe De Wilde
• Keywords: Artificial Neural Networks, Functional Activations, IJCNN 2006, Neural Network