发明名称 |
System and method for a recursive cortical network |
摘要 |
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. |
申请公布号 |
US9607262(B2) |
申请公布日期 |
2017.03.28 |
申请号 |
US201615158450 |
申请日期 |
2016.05.18 |
申请人 |
Vicarious FPC, Inc. |
发明人 |
George Dileep;Kansky Kenneth;Phoenix D Scott;Marthi Bhaskara;Laan Christopher;Lehrach Wolfgang |
分类号 |
G06N3/04;G06N5/04;G06N99/00;G06N3/08;G06N7/00 |
主分类号 |
G06N3/04 |
代理机构 |
|
代理人 |
Schox Jeffrey;Gwinn Thomas |
主权项 |
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; andin 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. |
地址 |
Union City CA US |