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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.18049131 |
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| _version_ | 1866902257960747008 |
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| author | Gow, Angela Harper |
| author_facet | Gow, Angela Harper |
| contents | <p>This preprint presents a modular, end-to-end architecture for automated EEG/MEG data ingestion, harmonisation, preprocessing, feature extraction, modelling, and analysis, governed by a single declarative configuration framework. The system is designed to support heterogeneous data sources, reproducible workflows, and extensible modelling pipelines, including classical and quantum-inspired approaches to neural signal analysis.</p> <p>The manuscript is intended as a technical and conceptual specification of the architecture, describing its design principles, component structure, and intended research applications, rather than as an implementation guide. The architecture is proposed as a flexible foundation for large-scale, multi-source EEG/MEG research, with potential relevance to computational neuroscience, neuroinformatics, and cognitive modelling.</p> <p>The automated EEG/MEG analysis and quantum-inspired modelling architecture described in this work is the subject of a patent application filed by the author.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18049131 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Unified Architecture for Harmonised EEG/MEG Data Analysis and Quantum-Inspired Cognitive Modelling Gow, Angela Harper Computational neuroscience Software <p>This preprint presents a modular, end-to-end architecture for automated EEG/MEG data ingestion, harmonisation, preprocessing, feature extraction, modelling, and analysis, governed by a single declarative configuration framework. The system is designed to support heterogeneous data sources, reproducible workflows, and extensible modelling pipelines, including classical and quantum-inspired approaches to neural signal analysis.</p> <p>The manuscript is intended as a technical and conceptual specification of the architecture, describing its design principles, component structure, and intended research applications, rather than as an implementation guide. The architecture is proposed as a flexible foundation for large-scale, multi-source EEG/MEG research, with potential relevance to computational neuroscience, neuroinformatics, and cognitive modelling.</p> <p>The automated EEG/MEG analysis and quantum-inspired modelling architecture described in this work is the subject of a patent application filed by the author.</p> |
| title | A Unified Architecture for Harmonised EEG/MEG Data Analysis and Quantum-Inspired Cognitive Modelling |
| topic | Computational neuroscience Software |
| url | https://doi.org/10.5281/zenodo.18049131 |