Universal, online learning in multi-modal perception-action semilattices
AssigneeInternational Business Machines Corporation
InventorDharmendra S. Modha
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AssigneeInternational Business Machines Corporation
InventorDharmendra S. Modha
Estimating the term…
In one embodiment, the present invention provides a method for interconnecting neurons in a neural network. At least one node among a first set of nodes is interconnected to at least one node among a second set of nodes, and nodes of the first and second set are arranged in a lattice. At least one node of the first set represents a sensory-motor modality of the neural network. At least one node of the second set is a union of at least two nodes of the first set. Each node in the lattice has an acyclic digraph comprising multiple vertices and directed edges. Each vertex represents a neuron population. Each directed edge comprises multiple synaptic connections. Vertices in different acyclic digraphs are interconnected using an acyclic bottom-up digraph. The bottom-up digraph has a corresponding acyclic top-down digraph. Vertices in the bottom-up digraph are interconnected to vertices in the top-down digraph.
A signaling interconnect for neural nodes, comprising:
A computer program product on a computer-readable medium for interconnecting neural nodes arranged in an interconnection lattice such that a connected node exchanges signals with at least two other nodes via the interconnection lattice, wherein a node comprises one or more neural vertices interconnected via multiple directed edges arranged in an acyclic digraph, each neural vertex comprising one or more neurons, each edge comprising a signaling pathway in the interconnection lattice, the computer program product comprising instructions, which when executed on a computer cause the computer to perform operations including:
Dependencies are inferred from the claim text.