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Fix the issues for each RQ instead of a general summary
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This page is a practical note that fixes the core of mind-upload's 60 RQs, which can be confirmed directly with EEG-DATA, application themes for auto-research-funds, and necessary requirements outside of EEG.
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The wiki is a learning aid. For the project's official current synthesis, success criteria, and operating rules, always return to the public pages.
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main pull, we reconfirmed RQ_TOTAL=60 and A/B/C=17/25/18 and confirmed that they are consistent with the RQ line on this page.0) in EEG-DATA/eeg_dataset_summary_ja.csv.GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR) is auto-research-funds I reconfirmed that all items can be viewed on the side.RQ line in mind-upload/wiki/mind-upload-rq60-deep-focus-notes.md and confirmed 60 (A/B/C=17/25/18).RQ lines, Application theme (grant key) has been assigned to one of G1-G6, and we confirmed that there is a blank 0.main EEG-DATA column (6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878), we confirmed the missing 0 on EEG-DATA/eeg_dataset_summary_ja.csv.GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR) is auto-research-funds I confirmed that it can be re-referenced under it.U8-1, U8-2, U14-1, U14-3, U7-2, U13-1 (maintains the previously fixed priority order).| RQ | Nucleus that can be solved with EEG-DATA (fixed for this time) | Two-week initial experiment (one experiment each) | Application theme (grant key) | EEG-DATA to be used (main/preliminary) | Pass/fail gate (conditions for proceeding to the next) |
|---|---|---|---|---|---|
| U8-1 | Identify the relationship between stability rate and recovery time when closed-loop delay is manipulated. | The same preprocessing pipeline was fixed with a delay of 0/50/100/150ms in the first week. In the second week, we remeasured the stability rate, recovery time, and abnormal stoppage rate and created a threshold table. | Identification of closed-loop delay tolerance range (G2 main / G5 spare) |
6 / 1972 |
Relative decrease in stability rate is within 20% and abnormal stop rate is within the prior upper limit. |
| U8-2 | Quantify the impact of online calibration intervals on performance retention. | Three conditions of calibration interval (every trial/every block/no fixation) were set in the first week. In the second week, we simultaneously evaluate the amount of drift and recalibration cost and determine the upper limit of operation. | Optimization of concept drift countermeasures (G2 main / G5 spare) |
696 / 2412 |
Improvement in performance maintenance rate is statistically significant with respect to increase in calibration cost. |
| U14-1 | Measure the correspondence between the fixed granularity (data/code/environment) of supplementary trial contracts and the reproduction success rate. | In the first week, re-execute at three granularity: “Fixed data only”, “Fixed data + code”, “Fixed data + code + environment”. Quantify the recall rate difference and the man-hour difference in the second week. | Minimum granularity definition of reproduction contract (G1 main / G3 reserve) |
56 / 719 |
Recall rate meets target value and man-hour increment is within acceptable upper limit. |
| U14-3 | Automatically detect subject leaks and time series leaks, and enable auditing of leaderboard evaluations. | Implemented leak detection rules (subject/session/time-window) in the first week. Apply it to the existing partition in the second week and create an audit report of the performance difference after re-partitioning. | leaderboard audit operation (G1 main / G3 spare) |
719 / 56 |
Zero leak detection, performance deterioration after repartition can be explained. |
| U7-2 | Estimate the jitter distribution of LSL synchronization error and determine the operational warning threshold. | Fixed offset/jitter extraction processing in the first week. Calculate the event rate exceeding the threshold in the second week and set the remeasurement trigger conditions as rules. | Synchronization error automatic warning operation (G1 main / G3 spare) |
6 / 696 |
Reproducibility of threshold exceeded events and false alarm rate of remeasurement rules are within tolerance. |
| U13-1 | Separately evaluate the discrepancy between semantic matching and causal matching using the same decoder. | In the first week, compute semantic match score and intervention-response match score with separate metrics. In the second week, register deviation cases as failure conditions and prohibit pass decisions based only on imitation score. | Separate evaluation of semantic restoration/causal reproduction (G1 main / G4 preliminary) |
509 / 13 |
Cases where only semantic matching is high can be identified and cases where there is no causal matching can be avoided. |
U8-1 (delay tolerance area)U8-2 (Calibration interval and drift)U14-1 (Reproduction contract granularity)U14-3 (Leak Audit)U7-2 (Synchronization error audit)U13-1 (Separation of semantic matching/causal matching)1RQ=1 verification proposition=1 application theme=1 main data as 6RQ.C Judgment RQ is not subject to this time (the policy is to accumulate technology demonstration first).main of mind-upload / EEG-DATA / auto-research-funds, re-inspect the RQ line of the deep digging note.RQ_TOTAL=60, A/B/C=17/25/18, Application theme (grant key) missing 0, Main EEG-DATA missing 0.1RQ = 1 verification proposition = 1 application theme = 1 main data, and each issue will be treated individually and in depth.1RQ = 1 verification proposition = 1 application theme = 1 main data.RQ_TOTAL=60 and A/B/C=17/25/18 against mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md.U0-1, U3-3, U4-2, U7-5, U11-3, U14-2.1RQ = 1 verification proposition = 1 application theme = 1 main data.mind-upload/wiki/mind-upload-eeg-rq60-feasibility-and-funds.md and
auto-research-funds/wiki/Mind-Upload-EEG-RQ-Grant-Map.md.research_harvest_50.md and related RQ60 pages (coverage maintained).G1-G6 and source resolvability in grant_queue/auto-research-funds.EEG-DATA CSV but no longer reliable as fixed dataset identifiers after reindex/remap.DOI + dataset name + access class in auto-research-funds/wiki/Mind-Upload-EEG-RQ-Grant-Map.md.main before this run and revalidated this page in deep-by-RQ mode (1RQ = 1 verification proposition = 1 application theme = 1 main data).RQ_TOTAL=60 with no missing key.mind-upload-eeg-rq60-feasibility-and-funds.md and reconfirmed A/B/C=17/25/18.24 IDs: 6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878) exist in latest EEG-DATA/eeg_dataset_summary_ja.csv (missing=0).G1-G6 (GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR) remain resolvable in grant_queue and auto-research-funds mapping docs.main in auto-startup, mind-upload, auto-research-funds, and EEG-DATA before this run.Ux-RQy keys on this page and reconfirmed RQ_TOTAL=60 (missing=0, duplicate=0).mind-upload-eeg-rq60-feasibility-and-funds.md and reconfirmed A/B/C=17/25/18.6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878) in latest EEG-DATA/eeg_dataset_summary_ja.csv (missing=0).G1-G6 (GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR) in grant_queue and auto-research-funds/wiki/Mind-Upload-EEG-RQ-Grant-Map.md.1RQ = 1 verification proposition = 1 application theme = 1 main data.main in auto-startup, mind-upload, auto-research-funds, and EEG-DATA before this run.1RQ = 1 verification proposition = 1 application theme = 1 main data) and reconfirmed RQ_TOTAL=60 with A/B/C=17/25/18.6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878) in latest EEG-DATA/eeg_dataset_summary_ja.csv (missing=0).G1-G6 (GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR) in grant_queue and auto-research-funds map docs.TOTAL=28,152, immediate=23,871, uncertain_public=3,692, account_required=585, restricted=4.RQ 行を再計数し、RQ_TOTAL=60、A/B/C=17/25/18 を再確認しました。main EEG-DATA 参照IDは EEG-DATA/eeg_dataset_summary_ja.csv で全件実在(欠落 0)を確認しました。G1-G6 は grant_queue と auto-research-funds/wiki/Mind-Upload-EEG-RQ-Grant-Map.md で再参照可能でした。1RQ=1検証命題=1応募テーマ=1主データ を維持します。U4-2(主データ 56 / G1)U7-5(主データ 676 / G1)U8-4(主データ 2412 / G2)U11-1(主データ 859 / G2)U13-3(主データ 509 / G1)U14-6(主データ 719 / G1)main pull 後に mind-upload/wiki/mind-upload-rq60-deep-focus-notes.md を再検証し、research_harvest_50.md 由来の RQ_TOTAL=60(missing=0, duplicate=0)を再確認しました。A/B/C=17/25/18 を再計数で確認しました。Application theme (grant key) と Main EEG-DATA が埋まっていることを確認しました。Main EEG-DATA の参照IDは EEG-DATA/eeg_dataset_summary_ja.csv 上で全件実在(missing=0)を再確認しました。G1-G6(GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR)は grant_queue と auto-research-funds 側マップで再参照可能でした。1RQ=1検証命題=1応募テーマ=1主データ を固定し、1件ずつ深掘りします。U0-1(同一性KPI二軸ROC、主データ 11、応募 G2)U1-2(不確実性伝播校正、主データ 56、応募 G1)U4-2(最小介入因果主張、主データ 56、応募 G1)U8-1(閉ループ遅延許容域、主データ 6、応募 G2)U13-1(意味一致/因果一致の分離、主データ 509、応募 G1)U14-3(リーク監査運用、主データ 719、応募 G1)mind-upload / EEG-DATA / auto-research-funds を再突合し、RQ_TOTAL=60、A/B/C=17/25/18 を維持したまま、2週間で初回結果まで到達しやすい 6RQ を実行カード化しました。1RQ=1検証命題=1応募テーマ=1主データ で、各RQに KPI 失敗条件 提出最低成果物 を明示しました。C 判定RQを拡張せず、まず A/B の実測ログを積む順序に固定しました。| RQ | 最初の実験KPI | 失敗条件 | 提出最低成果物 | 応募先(第一/予備) |
|---|---|---|---|---|
U14-1 |
追試成功率 再現率差 追加工数 |
最厳格固定条件でも追試成功率が目標未達 | Supplementary test operation report (including negative cases) | G1 / G3 |
U7-2 |
clock offset jitter p95 閾値超過率 |
閾値超過イベントの再現性不足、または誤警報率過大 | Time synchronization audit report (offset/jitter distribution) | G1 / G3 |
U14-3 |
被験者リーク検出率 時系列リーク検出率 再分割後性能差 |
再分割後もリーク0件を達成できない | Leak audit results and repartition trail | G1 / G3 |
U8-1 |
安定率 回復時間 異常停止率 |
遅延増加で安定率低下が大きく許容域未確定 | Closed loop safety KPI dashboard | G2 / G5 |
U8-2 |
性能維持率 ドリフト量 再較正コスト |
再較正コスト増に対して性能維持率改善が有意でない | Closed loop safety KPI dashboard | G2 / G5 |
U13-1 |
意味一致率 因果一致率 乖離ケース率 |
意味一致高・因果一致低ケースを分離できない | Intervention protocol and rebuttal condition definition | G1 / G4 |
auto-startup の main で git pull --ff-only origin main を実行し、Already up to date を確認しました。mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md を基準に RQ_TOTAL=60、A/B/C=17/25/18 を再計数し、整合を確認しました。1RQ=1検証命題=1応募テーマ=1主データ で1件ずつ深掘り)を継続固定しました。6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878)を EEG-DATA/eeg_dataset_summary_ja.csv の ID/旧ID と照合し、未解決ID 0 を確認しました。G1-G6(GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR)の実在を再確認しました。auto-startup の main で git pull origin main を実行し、Already up to date を確認しました。mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md の | Ux-y<br> 行を再計数し、RQ_TOTAL=60(欠損・重複 0)を再確認しました。A/B/C=17/25/18 を再確認し、全60RQで 1RQ=1検証命題=1応募テーマ=1主データ の深掘り運用を維持しました。mind-upload 側2ページ + auto-research-funds 側1ページ)で参照されるEEG ID一意集合(6, 11, 13, 16, 19, 29, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1972, 2412)を EEG-DATA/eeg_dataset_summary_ja.csv の ID/旧ID と照合し、未解決ID 0 を確認しました。G1-G6(GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR)を grant_queue と auto-research-funds 側で再照合し、全件実在を確認しました。RQ_TOTAL=60、A/B/C=17/25/18 を維持したまま、既存6RQバッチとは重複しない新規6RQを追加し、実行順を固定しました。U0-2 U1-3 U4-4 U11-1 U14-5 U15-4 で、KPI 失敗条件 提出最低成果物 を明示しました。U15-4(C判定)を含め、制度系RQでも技術監査ログとして2週間で到達できる入口を固定しました。1RQ=1検証命題=1応募テーマ=1主データ を適用します。U0-3/U1-2/U7-3/U8-4/U13-2/U15-2.RQ_TOTAL=60, A/B/C=17/25/18, and the same G1-G6 operating keys.Dxx + DOI + dataset name + access class (numeric ID is search-only legacy guidance).1RQ = 1 verification proposition = 1 application theme = 1 primary dataset.mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md を正本として再突合し、RQ_TOTAL=60、A/B/C=17/25/18 を再確認しました。U1-3/U3-5/U7-4/U8-5/U11-3/U15-1)を 1RQ=1検証命題=1応募テーマ=1主データ で固定しました。56,13,676,6,735,49)は EEG-DATA/eeg_dataset_summary_ja.csv で実在(欠落 0)を確認しました。G1-G6 実ID系(GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR)を維持しました。U7-4(再計測/除外判定木を固定)U1-3(逆解法乖離の採択規則)U8-5(オーバーライド安全KPI)U11-3(理論比較I/O仕様)U3-5(境界拡張proxyと外部依存境界)U15-1(神経データ機微性の制度接続)mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md を正本として再突合し、RQ_TOTAL=60、A/B/C=17/25/18 を再確認しました。U0-1/U1-1/U4-3/U8-6/U12-3/U14-4)を 1RQ=1検証命題=1応募テーマ=1主データ で固定しました。11,56,19,6)は EEG-DATA/eeg_dataset_summary_ja.csv の ID/旧ID で実在(欠落 0)を確認しました。G1-G6 実ID系(GR-2026-013, GR-2026-014, 9Lx4dPK6a4k2gOb7, Drbm6vBRDJkn0NGJ, 871pw3rLjNPKgqA0, 46z9VPE4wnkrvEJR)を維持しました。U1-1(逆問題の事前分布比較と採択規則)U0-1(同一性KPIの観測一致/介入一致二軸化)U14-4(Model Card / Dataset Card の契約要件化)U4-3(反事実誤差による理論比較固定)U8-6(再学習頻度と安全余裕のトレードオフ固定)U12-3(心理的連続性監査ログの制度接続準備)main in auto-startup, mind-upload, EEG-DATA, and auto-research-funds before editing (0 0, Already up to date in every repo).### Ux-y headings in mind-upload/wiki/mind-upload-rq60-rq-by-rq-deep-dossiers.md and reconfirmed RQ_TOTAL=60 (missing=0, duplicate=0).mind-upload/wiki/mind-upload-rq60-deep-evaluation-cards.md and reconfirmed A/B/C=17/25/18.6, 11, 13, 16, 19, 29, 39, 49, 56, 65, 509, 676, 696, 719, 735, 783, 842, 859, 1011, 1839, 1972, 2412, 3419, 4878) in EEG-DATA/eeg_dataset_summary_ja.csv (旧ID, missing=0).U11-1 anchor drift: the stale D12=10.21227/qqj2-r702 reference was invalid and is now aligned to D14 (10.6084/m9.figshare.1485719) with D16/D17 as support anchors.U12-5 minimum deliverable drift: this RQ now consistently points to Branch-based audit log design document instead of a synchronization-only report.docs/wiki/mind-upload_eeg_funding_verification_2026-03-29_0137-jst.md, mind-upload/wiki/mind-upload-eeg-rq60-feasibility-and-funds.md, and auto-research-funds/wiki/Mind-Upload-EEG-RQ-Grant-Map.md.1RQ = 1 verification proposition = 1 application theme = 1 primary dataset rule.U1-1 - prior-family benchmark with known stimulation ground truthU4-2 - minimum causal claim fixed before analysisU7-1 - BIDS extension contract for synchronization/QC/stimulus logsU11-1 - rank-preserving theory comparison across anesthesia/sleep/DoCU13-5 - perception-to-recall branch point for mimicry/mechanism separationU14-4 - Model Card / Dataset Card wired into the reproducibility contractmain in auto-startup, mind-upload, EEG-DATA, and auto-research-funds before editing and reconfirmed Already up to date.RQ_TOTAL=60, A/B/C=17/25/18, and the submission evidence rule Dxx + DOI + dataset name + access class.issue.html to the same six RQs, while keeping the stronger dataset/KPI/stopping-rule details inside the wiki.| RQ | Why this is solve-first now | Primary D anchor | Grant lane | First KPI to lock now | External dependency kept separate |
|---|---|---|---|---|---|
U0-1 |
identity claims drift upward too easily unless observation-match and intervention-response match are forced into the same public pass/fail gate. | D02 + support D11/D23 |
G2 / G3 |
observation-match AUC / intervention-response match rate |
Legal/philosophical identity criteria |
U1-2 |
inverse-problem claims are not credible unless uncertainty propagation survives repeated conductivity, missing-electrode, and noise perturbations. | D08 + support D11/D19 |
G1 / G4 |
interval coverage |
Head-model identification conditions |
U4-4 |
causal-equivalence claims should fail fast, so falsification thresholds must be locked before reading any result. | D05 + support D08/D19 |
G1 / G4 |
PEHE + sign-reversal rate |
Common I/O specification and intervention protocol |
U7-1 |
synchronization/QC/stimulus logs are the shortest path to a public reproducibility claim that still stays conservative. | D11 + support D15/D23 |
G1 / G3 |
required-field fill rate |
Institutional adoption and governance |
U8-4 |
a closed-loop program without explicit fail-safe latency metrics is not ready for a public safety claim. | D20 + support D01/D21 |
G2 / G5 |
abnormal-detection latency p95 |
Site shutdown ownership and operational safety SOP |
U11-1 |
awareness-index comparison is publicly safer when it is reduced to rank preservation across shared I/O rather than theory-winning language. | D14 + support D16/D17 |
G2 / G4 |
rank-preservation rate |
Theory adoption and clinical responsibility split |
U7-1U1-2U4-4U0-1U8-4U11-1main in auto-startup, mind-upload, EEG-DATA, and auto-research-funds, plus master in auto-startup.wiki, and reconfirmed Already up to date in every target repo.EEG-DATA/wiki/datasets cards instead of relying only on routing tables.D11 is currently the strongest anchor in the local mirror because its card exposes BIDS 1.7.0, CC0, 47 sessions, 186 EEG runs, 31 EEG + 5 misc, 5000 Hz, and even the README=24 / participants.tsv=25 mismatch that still has to stay visible in any serious audit.D02 remains a valid cross-session identity anchor, but the current local card only fixes a conservative minimum set (10 participants, BrainVision / BrainAmp / actiCHamp, motor-imagery framing, cross-session transfer route). It is not yet a substitute for a richer intervention log or a theory-level identity dossier.D05, D08, D14, and D20 remain valid route anchors in the current mirror, but their autogenerated local cards are still sparse enough that public claims should stay at the level of what family of test this anchor supports plus which logs are still required, not at the level of a complete protocol/QC dossier.required logs as first-class deliverables before strengthening the claim language around causal equivalence, inverse-problem coverage, closed-loop safety, or awareness-index comparison.https://mind-upload.com/issue.html output before changing the public source page.D08 and D11 remain the strongest current repository anchors: D08 because it exposes a ground-truth source-localization route with intervention, and D11 because it exposes the richest synchronization/BIDS/session-run audit surface in the local mirror.D02 and D20 remain usable conservative route anchors, but only when the public claim is kept at the level of cross-session identity drift or closed-loop latency/safety auditing rather than a stronger intervention or deployment claim.D05 works as the minimum perturbation anchor for U4-4, but the stronger causal-equivalence reading should stay tied to D08-class ground truth or equivalent intervention detail.D14 works as the minimum anesthesia-side anchor for U11-1, but the cross-state wording should stay paired with sleep / DoC support anchors such as D16/D17 rather than being read as a standalone winner.support anchors + required logs, and do not widen the claim ceiling.https://mind-upload.com/issue.html wording, the local EEG-DATA dataset cards, the official funding pages, and the live Todoist task inventory before changing any public-facing text.U13-2, U13-5, U0-2, U0-3, U14-4, and U14-2 still form the narrow inner-speech decoding + identity drift + reproducibility auditing route, and the public page still presents them as a route-setting update rather than a solved-claim update.D10 -> 000016 3M-CPSEED (OpenNeuro ds006465 v2.0.0, immediate), D03 -> 011012 Data of Multimodal Fusion System for Cognitive Load Assessment in Psychological Experiments: An EEG and Eye-Tracking Study (DOI route, subscription-gated support), D01 -> 016105 Acquisition delay of wireless EEG (DOI route, subscription-gated support), and D02 -> 005558 CSTE (DOI route, subscription-gated support).D03, D01, and D02 still have IEEE DataPort-backed routes in the local mirror that now need to be read as subscription-gated support, so the public route no longer treats them as immediate public anchors.Kura Fund remains the practical first route for U13/U14, the Nakatani Foundation graduate scholarship remains the main student-facing bridge for U13/U0, the Kashinome Scholarship stays a runway-only side route, the Nakatani Foundation research grant stays in watch mode, and no new Todoist task is added because the required start/deadline tasks already exist.finished minimum artifacts + required logs, not as a stronger claim ceiling.