📣 Later this summer we will launch a second task for our NeurIPS competition. Follow for updates: libribrain.com

3/N 🧵 All data can be downloaded and loaded into PyTorch (or your favourite DL framework) via our `pnpl` library (`pip install pnpl`).

💡 Tip: We include Colab notebooks with GPU support to help you train your first model fast.

🏁 Challenge: Can you beat the tutorial model? 😎

2/N 🧵 For each task, we are hosting two competition tracks:

- A "Standard Track", to best compare methodological innovations, seeing how far teams can go when training on the LibriBrain dataset.

- An "Extended Track", to embrace scale and train on *any* data.

Can you predict when the brain is processing speech/non-speech? The 2025 PNPL Competition 🏆 features two foundational decoding tasks which make efficient use of the PNPL🍍LibriBrain data. The first task to launch will be Speech Detection 🚀. More details: libribrain.com

We're happy to announce that the 2025 PNPL Competition will launch soon as part of this year's NeurIPS🍍🏆

- 25–50× deeper non-invasive neural data than usual
- pip install pnpl library
- Colab tutorials
- Prizes 🎁, leaderboards 🌐, Discord 🗣️

Webpage: libribrain.com