System and method for a recursive cortical network
First Claim
1. A method for generating patterns with a network comprising:
- providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes;
wherein the parent feature node is an input node and the at least two child feature nodes are output nodes;
propagating node selection down the network layer hierarchy in a manner consistent with node connections of sub-networks of the network, propagation within the sub-networks comprising;
at an activated parent feature node of a sub-network, selecting a pool node consistent with a selection function of the parent feature node;
at the pool node of a first pool, selecting at least a first parent-specific child feature (PSCF) node that corresponds to a child feature node of the sub-network; and
in response to the selection of a first node of the sub-network, enforcing a selection constraint on at least a second node of a second pool according to a lateral constraint node of the sub-network; and
compiling the state of final child feature nodes of the network into a generated output.
3 Assignments
0 Petitions
Accused Products
Abstract
A method for generating patterns with a network includes providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes; and at a first sub-network of the recursive network, the first sub-network including the parent feature node and the at least two child feature nodes, selecting a first pool node and a second pool node consistent with a selection function of the parent feature node, selecting at least a first parent-specific child feature (PSCF) node that corresponds to a first child feature node of the sub-network, selecting at least a second parent-specific child feature (PSCF) node that corresponds to a second child feature node of the sub-network; and compiling the state of final child feature nodes, including the first and second child feature nodes, of the network into a generated output.
14 Citations
20 Claims
-
1. A method for generating patterns with a network comprising:
-
providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes;
wherein the parent feature node is an input node and the at least two child feature nodes are output nodes;propagating node selection down the network layer hierarchy in a manner consistent with node connections of sub-networks of the network, propagation within the sub-networks comprising; at an activated parent feature node of a sub-network, selecting a pool node consistent with a selection function of the parent feature node; at the pool node of a first pool, selecting at least a first parent-specific child feature (PSCF) node that corresponds to a child feature node of the sub-network; and in response to the selection of a first node of the sub-network, enforcing a selection constraint on at least a second node of a second pool according to a lateral constraint node of the sub-network; and compiling the state of final child feature nodes of the network into a generated output. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A method for generating patterns with a network comprising:
-
providing a recursive network of sub-networks with a parent feature node and at least two child feature nodes;
wherein the parent feature node is an input node and the at least two child feature nodes are output nodes; andat a first sub-network of the recursive network, the first sub-network including the parent feature node and the at least two child feature nodes; at an activated parent feature node of the first sub-network, selecting a first pool node and a second pool node consistent with a selection function of the parent feature node; at the first pool node, selecting at least a first parent-specific child feature (PSCF) node that corresponds to a first child feature node of the sub-network; at the second pool node, selecting at least a second parent-specific child feature (PSCF) node that corresponds to a second child feature node of the sub-network; and compiling the state of final child feature nodes, including the first and second child feature nodes, of the network into a generated output. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification