Post synaptic potential-based learning rule
US10878313B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2017 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Aug 12, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/049
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A spike sent from a first artificial neuron in a spiking neural network (SNN) to a second artificial neuron in the SNN is identified, with the spike sent over a particular artificial synapse in the SNN. The membrane potential of the second artificial neuron at a particular time step, corresponding to sending of the spike, is compared to a threshold potential, where the threshold potential is set lower than a firing potential of the second artificial neuron. A change to the synaptic weight of the particular artificial synapse is determined based on the spike, where the synaptic weight is to be decreased if the membrane potential of the second artificial neuron is lower than the threshold potential at the particular time step and the synaptic weight is to be increased if the membrane potential of the second artificial neuron is higher than the threshold potential at the particular time step.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.