Research Radar #169
Replies: 26 comments
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@stanislavjiricek ✅ ALL GOOD — 2026-03-13 (Radar Brief ready) Research Radar Brief — Week 11, 2026Generated 2026-03-13 | neuroflow v0.2.3 | 31 commands · 31 skills · 23 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.3, 0.2.2, 0.2.1, 0.2.0, 0.1.9 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-03-13 (Radar Brief ready) Research Radar Brief — Week 11, 2026Generated 2026-03-13 | neuroflow v0.2.3 | 31 commands · 31 skills · 23 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.3, 0.2.2, 0.2.1, 0.2.0, 0.1.9 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-03-20 (Radar Brief ready) Research Radar Brief — Week 12, 2026Generated 2026-03-20 | neuroflow v0.2.6 | 33 commands · 35 skills · 24 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.6, 0.2.5, 0.2.4, 0.2.3, 0.2.2 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-03-27 (Radar Brief ready) Research Radar Brief — Week 13, 2026Generated 2026-03-27 | neuroflow v0.2.7 | 33 commands · 35 skills · 24 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.7, 0.2.6, 0.2.5, 0.2.4, 0.2.3 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-04-03 (Radar Brief ready) Research Radar Brief — Week 14, 2026Generated 2026-04-03 | neuroflow v0.2.13 | 34 commands · 37 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.13, 0.2.12, 0.2.11, 0.2.10, 0.2.8 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-04-10 (Radar Brief ready) Research Radar Brief — Week 15, 2026Generated 2026-04-10 | neuroflow v0.2.14 | 34 commands · 38 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.14, 0.2.13, 0.2.12, 0.2.11, 0.2.10 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-04-17 (Radar Brief ready) Research Radar Brief — Week 16, 2026Generated 2026-04-17 | neuroflow v0.2.15 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.15, 0.2.14, 0.2.13, 0.2.12, 0.2.11 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-04-24 (Radar Brief ready) Research Radar Brief — Week 17, 2026Generated 2026-04-24 | neuroflow v0.2.16 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.16, 0.2.15, 0.2.14, 0.2.13, 0.2.12 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-05-01 (Radar Brief ready) Research Radar Brief — Week 18, 2026Generated 2026-05-01 | neuroflow v0.2.16 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.16, 0.2.15, 0.2.14, 0.2.13, 0.2.12 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-05-08 (Radar Brief ready) Research Radar Brief — Week 19, 2026Generated 2026-05-08 | neuroflow v0.2.18 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.18, 0.2.16, 0.2.15, 0.2.14, 0.2.13 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-05-15 (Radar Brief ready) Research Radar Brief — Week 20, 2026Generated 2026-05-15 | neuroflow v0.2.18 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.18, 0.2.16, 0.2.15, 0.2.14, 0.2.13 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-05-22 (Radar Brief ready) Research Radar Brief — Week 21, 2026Generated 2026-05-22 | neuroflow v0.2.18 | 36 commands · 39 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.18, 0.2.16, 0.2.15, 0.2.14, 0.2.13 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-05-29 (Radar Brief ready) Research Radar Brief — Week 22, 2026Generated 2026-05-29 | neuroflow v0.2.19 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.19, 0.2.18, 0.2.16, 0.2.15, 0.2.14 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-06-05 (Radar Brief ready) Research Radar Brief — Week 23, 2026Generated 2026-06-05 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-06-12 (Radar Brief ready) Research Radar Brief — Week 24, 2026Generated 2026-06-12 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-06-19 (Radar Brief ready) Research Radar Brief — Week 25, 2026Generated 2026-06-19 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-06-26 (Radar Brief ready) Research Radar Brief — Week 26, 2026Generated 2026-06-26 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-07-03 (Radar Brief ready) Research Radar Brief — Week 27, 2026Generated 2026-07-03 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-07-10 (Radar Brief ready) Research Radar Brief — Week 28, 2026Generated 2026-07-10 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-07-17 (Radar Brief ready) Research Radar Brief — Week 29, 2026Generated 2026-07-17 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-07-24 (Radar Brief ready) Research Radar Brief — Week 30, 2026Generated 2026-07-24 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-07-31 (Radar Brief ready) Research Radar Brief — Week 31, 2026Generated 2026-07-31 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-08-07 (Radar Brief ready) Research Radar Brief — Week 32, 2026Generated 2026-08-07 | neuroflow v0.2.20 | 36 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.20, 0.2.19, 0.2.18, 0.2.16, 0.2.15 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-08-14 (Radar Brief ready) Research Radar Brief — Week 33, 2026Generated 2026-08-14 | neuroflow v0.2.21 | 38 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.21, 0.2.20, 0.2.19, 0.2.18, 0.2.16 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-08-21 (Radar Brief ready) Research Radar Brief — Week 34, 2026Generated 2026-08-21 | neuroflow v0.2.21 | 38 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.21, 0.2.20, 0.2.19, 0.2.18, 0.2.16 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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@stanislavjiricek ✅ ALL GOOD — 2026-08-28 (Radar Brief ready) Research Radar Brief — Week 35, 2026Generated 2026-08-28 | neuroflow v0.2.21 | 38 commands · 40 skills · 9 agents Recent changes (context for gap analysis)Most recent versions in changelog: 0.2.21, 0.2.20, 0.2.19, 0.2.18, 0.2.16 💡 New ideas (implementation candidates)1. LLM-assisted hypothesis generation
2. BIDS 2.0 support
3. Automated preregistration syncing (OSF API)
4. Reproducibility checks (code + data provenance)
5. Multi-modal fusion (EEG+fMRI, EEG+eye tracking)
6. Real-time feedback loop for BCI
7. NotebookLM / AI note-taking integration
🔍 Detected capability gapsThe following research domains have sparse coverage in current commands/skills:
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