Update LibriBrain publication venue to NeurIPS; fix PNPL competition accepted papers link

DJayalath · DJayalath · commit 358511e0533e · 2026-01-31T17:16:23.000Z
diff --git a/src/app/components/LibriBrainCTA.tsx b/src/app/components/LibriBrainCTA.tsx
@@ -86,7 +86,7 @@ export default function LibriBrainCTA() {
           alignItems: 'center'
         }}>
           <a
-            href="https://neural-processing-lab.github.io/2025-libribrain-competition/workshop-paper/"
+            href="https://neural-processing-lab.github.io/2025-libribrain-competition/workshop-papers/"
             target="_blank"
             rel="noopener noreferrer"
             style={{
diff --git a/src/app/components/Publications.tsx b/src/app/components/Publications.tsx
@@ -28,7 +28,7 @@ const publications: Publication[] = [
   {
     title: "LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale",
     authors: ["Miran Özdogan", "Gilad Landau", "Gereon Elvers", "Dulhan Jayalath", "Pratik Somaiya", "Francesco Mantegna", "Mark Woolrich", "Oiwi Parker Jones"],
-    venue: "arXiv preprint",
+    venue: "NeurIPS 2025 Datasets and Benchmarks Track",
     year: 2025,
     arxiv: "2506.02098",
     description: "The largest single-subject MEG dataset to date for speech decoding, with over 50 hours of recordings. Cite this for the LibriBrain dataset.",

Original file line number	Diff line number	Diff line change
`@@ -28,7 +28,7 @@ const publications: Publication[] = [`
`28`	`28`	`{`
`29`	`29`	`title: "LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale",`
`30`	`30`	`authors: ["Miran Özdogan", "Gilad Landau", "Gereon Elvers", "Dulhan Jayalath", "Pratik Somaiya", "Francesco Mantegna", "Mark Woolrich", "Oiwi Parker Jones"],`
`31`		`- venue: "arXiv preprint",`
	`31`	`+ venue: "NeurIPS 2025 Datasets and Benchmarks Track",`
`32`	`32`	`year: 2025,`
`33`	`33`	`arxiv: "2506.02098",`
`34`	`34`	`description: "The largest single-subject MEG dataset to date for speech decoding, with over 50 hours of recordings. Cite this for the LibriBrain dataset.",`