Apparatus and methods for efficient updates in spiking neuron network
US9256823B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2012 |
| Grant date | Feb 9, 2016 |
| Priority date | — |
| Expiry date | Jan 9, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/049
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Efficient updates of connections in artificial neuron networks may be implemented. A framework may be used to describe the connections using a linear synaptic dynamic process, characterized by stable equilibrium. The state of neurons and synapses within the network may be updated, based on inputs and outputs to/from neurons. In some implementations, the updates may be implemented at regular time intervals. In one or more implementations, the updates may be implemented on-demand, based on the network activity (e.g., neuron output and/or input) so as to further reduce computational load associated with the synaptic updates. The connection updates may be decomposed into multiple event-dependent connection change components that may be used to describe connection plasticity change due to neuron input. Using event-dependent connection change components, connection updates may be executed on per neuron basis, as opposed to per-connection basis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.