System and method for iterative classification using neurophysiological signals
US11580409B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2017 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Apr 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.