
Worked on the mne-tools/mne-python repository to enhance documentation clarity for the eLORETA method, specifically addressing how depth bias is handled. Updated the relevant docstrings and notes to explicitly state that depth bias is ignored by eLORETA, ensuring that users have accurate expectations about the method’s behavior. This documentation improvement, implemented using Python and technical writing skills, aimed to streamline onboarding and reduce potential confusion for new users. By aligning the documentation with the actual implementation, the work helped lower the likelihood of misinterpretation and support queries, contributing to a more transparent and user-friendly experience for the community.
June 2026 — mne-tools/mne-python: Focused on documentation clarity for eLORETA. Clarified that depth bias is ignored by the eLORETA method, aligning user expectations with the implementation. This doc update improves onboarding, reduces potential misinterpretation, and lowers support queries.
June 2026 — mne-tools/mne-python: Focused on documentation clarity for eLORETA. Clarified that depth bias is ignored by the eLORETA method, aligning user expectations with the implementation. This doc update improves onboarding, reduces potential misinterpretation, and lowers support queries.

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