Update README.md

README.md

@@ -27,7 +27,9 @@ pipeline_tag: feature-extraction
 > **Zero-shot brain encoder: predict which brain regions activate in response to any audio or text — no fMRI required at inference time.**
 
 Trained exclusively on **real naturalistic fMRI data** 
+
 This is a demo, not representative of the full model** 
+
 Predicts activation across **56 canonical brain ROIs** (HCP MMP1.0 parcellation).
 
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@@ -41,7 +43,8 @@ Predicts activation across **56 canonical brain ROIs** (HCP MMP1.0 parcellation)
 | **NeuroText Whisper v4** | **0.257** | Single shared model, no per-subject fine-tuning |
 | TRIBE v2 (Meta AI) | 0.215 | Published; per-subject fine-tuned; video+audio+text |
 
-All 7 brain networks beat TRIBE v2. Biggest leads: Frontal (+0.209), Default Mode (+0.221), Subcortical (+0.234).
+All 7 brain networks exceeded TRIBE v2 at a fraction of the compute. Biggest leads: Frontal (+0.209), Default Mode (+0.221), Subcortical (+0.234).
+These predictions are made on a coarser 56 ROI level.
 
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