System and method for a recursive cortical network

Abstract

A method for inferring patterns in multi-dimensional image data comprises providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes; wherein each sub-network is associated with a distinct subset of the space; configuring nodes of the sub-networks with posterior distribution component; receiving image data feature input at the final child feature nodes; propagating node activation through the network layer hierarchy in a manner consistent with node connections of sub-networks of the network and the posterior prediction of child nodes; and outputting parent feature node selection to an inferred output.

What is claimed is: 
     
         1 . A method for inferring patterns in image data, the data having a space of two or more dimensions, with a network comprising:
 providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes; wherein each sub-network is associated with a distinct subset of the space;   configuring nodes of the sub-networks with posterior distribution component;   receiving image data feature input at the final child feature nodes;   propagating node activation through the network layer hierarchy in a manner consistent with node connections of sub-networks of the network and the posterior prediction of child nodes; and   outputting parent feature node selection to an inferred output.