Method and system to predict and interpret conceptual knowledge in the brain
US10546233B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 22, 2015 |
| Grant date | Jan 28, 2020 |
| Priority date | — |
| Expiry date | Nov 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for explaining how the human brain represents conceptual knowledge. A semantic model is developed, and a behavioral exam is performed to assess a calibration subject into a cohort and reveal semantic relationships to modify a personalized semantic space developed by the semantic model. Semantic features are extracted from the personalized semantic space. Neural features are extracted from neuroimaging of the human subject. A neuroceptual lattice is created having nodes representing attributes by aligning the semantic features and the neural features. Structures in the neuroceptual lattice are identified to quantify an extent to which the set of neural features represents a target concept. The identified structures are used to interpret conceptual knowledge in the brain of a test subject.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.