{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11497429","patent":{"patent_number":"US-11497429","title":"Iterative process for calibrating a direct neural interface","assignee":null,"inventors":[],"filing_date":"2017-12-22T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","G05B","G06F","G06F","A61B","A61B"],"num_claims":11,"abstract":"The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured electrophysiological signals and so-called output calibration tensor, formed on the basis of measured output signals. The method comprises the application of a least squares multivariate regression implemented by considering a covariance tensor and a cross-covariance tensor which are established on the basis of input and output calibration tensors corresponding to a current calibration period. The method takes into account covariance and cross-covariance tensors established during an earlier calibration period prior to the current calibration period, these tensors being weighted by a forget factor."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Iterative process for calibrating a direct neural interface","description":"The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured el","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11497429","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11497429","citation_suggestion":"Patentable. \"Iterative process for calibrating a direct neural interface\" (US-11497429). https://patentable.app/patents/US-11497429","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11497429","json":"https://patentable.app/api/llm-context/US-11497429","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T11:54:38.046Z"}