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BRNet 2026 — Lecture Transcripts Index

Created 2026-06-17
Tags brnettranscriptsconferencesscience

Transcripts of five lecture recordings from the 8th Annual Body Representation Network Meeting, Padova, Italy, June 8–9, 2026. All recordings were ambient room audio — no dedicated microphone.

Audio originals: synology:/volume1/baseworks/research/conferences/2026-06-brnet/audio/ Transcription tool: Groq Whisper large-v3, forced English, segment timestamps Transcript format: [MM:SS] text per segment


FileSpeakerTalkQualityUsable for
Olaf Blanke BRNet.txtOlaf Blanke (EPFL)Neuropsychiatry of Invisible PresencesGood — 966 segments, consistentDirect quotes, content summary, theoretical framing
Manja Engel BNNet.txtManja Engel (Utrecht)Feedback-based body size updating in AN (VR)Good — 243 segments, clear methodologyMethodology, findings, Q&A
Jamie Feusner BRNet.txtJamie Feusner (U Toronto)When the Brain Misrepresents the Body (keynote)Mixed — 906 segments; clear in places, drops in othersFramework overview, measurement tool limitations; cross-check with abstract
Alkistis Saramandi BRNet.txtAlkistis Saramandi (UCL)Precision-weighted body belief updating in ANPartial — 189 segments; garbles badly from ~07:54Opening framing and pilot study description only; hard dropout mid-talk
Gabriele Vercelli BRNet.txtGabriele Vercelli (Roma La Sapienza)Interoceptive conditioning for ANPoor — 28 segments, almost entirely garbledUse abstract only

  • Conference program and abstracts: See the BRNet 2026 program booklet — cross-reference abstracts for any speaker before using transcript content. Asia’s personal lecture notes will supplement these when she joins the post collaboration.
  • Asia’s poster abstract: 02-areas/method-admin/core/science-docs/conferences/BRNet 2026 Abstract.md
  • Conference landscape doc: 02-areas/method-admin/core/science-docs/conferences/BRNet 2026 Conference Landscape.md
  • Communications post working context: 2026-06-brnet-session-context

If higher-quality transcription is needed for a specific talk:

  1. Original m4a files are on NAS (path above) — use these, not the originals on the external SSD
  2. Re-compress for Groq: ffmpeg -i "Speaker.m4a" -ar 16000 -ac 1 -b:a 32k "Speaker.mp3" (keeps under 25MB for most talks; Jamie Feusner and Olaf Blanke need 32kbps to stay under limit)
  3. Groq Whisper large-v3 with language=en forced — prevents Welsh hallucination on quiet audio
  4. Gabriele Vercelli would need a higher-quality source recording to improve — the ambient audio is too degraded to recover with better tooling