Preview This is a draft of the public site. Numbers, leaderboard rankings, dataset entries, model scores, and the waveform demo are placeholder values until the competition launches.
NeurIPS 2026 · open competition

EEG/EMG Foundation Challenge 2026.

Neural Interfaces for Generalizable Decoding is a unified, open-source benchmark for AI models of EEG/EMG activity. 94 datasets, 36 EEG tasks, 14 architectures — all behind a standardized BIDS-first interface. Pretrain once. Evaluate everywhere. Reproduce by construction.

EEG EMG Sleep BIDS-first PyTorch MIT licensed
bash · pip · neuralbench
1# 1. Install the benchmark
2$ pip install neuralbench eegdash braindecode
3
4# 2. Download a task
5$ neuralbench eeg eeg_to_image --download
6
7# 3. Run the full grid
8$ neuralbench eeg eeg_to_image -m eegnet
9 ↳ NeuralBench-EEG-Core v1.0 · 94 datasets · 36 tasks
Demo signal · α-band placeholder 500 Hz
94 datasets +3 this wk
36 EEG tasks
14 architectures
12,340 h of recording
3,412 subjects
184 teams ↑ 12
Five tracks, one pipeline draft

From cognition to clinic to foundation transfer.

Each track shares the same evaluation harness, BIDS-first datasets, and reproducibility audit. Submit to one — or stack against all five.

Submissions openJul 1 — Sep 1, 2026 (AoE)
Final resultsNeurIPS · Sydney
Prize pool$XXX,000 USD
Track 01 OPEN

EEG-to-IMG

Evoked visual retrieval: rank held-out candidate images from EEG epochs recorded during visual stimulation. Targets are frozen DINOv2-giant embeddings.

Visual retrieval DINOv2 RSVP Object viewing
Trials1.6M+
Subjects80+
MetricTop-5 Acc
Current leader REVE-pretrained · Lausanne
84.7
Track 02 OPEN

BCI decoding

Calibration-stable command decoding across sessions and contexts. Generalize motor imagery, calculation, and word association tasks to later sessions without recalibration.

Motor imagery Mental math Word association Session drift
Sessions120+
Subjects20
MetricBal. Acc
Current leader EEGNet-baseline · Inria
58.6
Track 03 OPEN

Sleep onset

Estimate the latency from recording start to stable sleep onset (N2 event) using consumer-grade wearable EEG. Staging is secondary to precise timing.

Sleep onset Wearable EEG Muse Home monitoring
Sleepers1,000+
MetricMAE (s)
Current leader LaBraM-sleep · Tsinghua
134.9
Track 04 OPEN

EMG-to-Text

Decode typed keystrokes from wristband surface EMG. Sequence transduction across 100+ users, addressing anatomy, typing strategy, and sensor re-placement.

EMG typing Sequence transduction Wristbands QWERTY
Users108
Keystrokes5M+
MetricCER (%)
Current leader EMG2QwertyNet · Meta
25.1
Phases · Jul — Dec 2026

From warm-up to NeurIPS finals.

One warm-up window, one final submission window, one reproducibility audit, one weekend in Sydney. The schedule follows the NeurIPS 2026 competition guidelines: launch July 1, submissions close September 1 (AoE), final rankings November 1, present at the December workshop.

All timesAnywhere on Earth (AoE)
Daily cap (final phase)5 submissions / team / day
WorkshopNeurIPS · Dec 11–12, 2026
  1. Phase 01 NEXT

    Warm-up

    Jul 1 — Jul 31, 2026

    Public validation set, unlimited submissions, baseline models released on Jul 1. Get your pipeline running end-to-end before the sealed test opens.

    OpensJul 1, 2026
    Validation setPublic release
    SubmissionsUnlimited
  2. Phase 02 UPCOMING

    Final submissions

    Aug 1 — Sep 1, 2026 (AoE)

    Sealed test set opens Aug 1. Daily submission caps enforced. Submissions close Sep 1 AoE. Each team submits a 2-page methods note alongside their best model.

    OpensAug 1, 2026
    ClosesSep 1, 2026 (AoE)
    Daily cap5 / team / day
  3. Phase 03 UPCOMING

    Audit & Ranking

    Oct 1 — Nov 1, 2026

    Reproducibility audit of the top-ranked submissions on Oct 1. Final rankings released Nov 1; competition reports and analysis paper drafted.

    AuditOct 1, 2026
    Final rankingNov 1, 2026
  4. Phase 04 UPCOMING

    NeurIPS finals

    Dec 11 — 12, 2026

    Track winners present in Sydney at the NeurIPS Competition Track. Awards, lessons-learned keynote, and the v2.0 roadmap. Travel grants for top-3 per track.

    VenueSydney · ICC
    Prize pool$XXX,000 USD
Leaderboard preview placeholder data

One ranking, updated every 15 minutes during the final phase.

# Submission Track Score Δ
#01 REVE-pretrained · Lausanne T1 84.7
#02 REVE-BCI · Lausanne T2 68.0
#03 EMG2QwertyNet · Meta T4 25.1
#04 EEGNet-baseline · Inria T2 58.6
#05 REVE-sleep · Lausanne T3 134.9
#06 EEGNet-sleep · Inria T3 143.3
#07 EEGNet-visual · Inria T1 28.1
Next refresh in 8 min · 184 teams · 1,247 submissions Open full leaderboard →
Datasets · BIDS-first via EEGDash placeholder data

500+ public datasets, one unified interface.

Search standardized metadata, run reproducible pipelines, export model-ready features in minutes.

python · eegdash
1from eegdash import EEGDashDataset
2
3dataset = EEGDashDataset(
4 cache_dir="./data",
5 dataset="ds002718",
6 subject=["012", "013"],
7)
8# 47 recordings · BIDS · streamed
ID Name Mod. Subj Hours Ch. SR Coverage
ds004245 THINGS-EEG · Object viewing EEG 60 40h+ 64 1000 Hz
alljoined-1.6 Alljoined-1.6M · Natural images EEG 20 160h 32 250 Hz
bci-graz Graz/BrainHero · BCI command EEG 20 24h 43 512 Hz
muse-sleep Muse Sleep-Onset · Wearable Sleep 1000 8000h 4 256 Hz
emg2qwerty emg2qwerty · EMG typing EMG 108 346h 32 2000 Hz
Showing 7 of 94 · NeuralBench-EEG-Core v1.0 Open the start-kit →
Architectures · braindecode model zoo placeholder F1

Side-by-side, on the same data, with the same protocol.

task-specific

EEGNeX

Compact CNN
F183.2
Params0.4M
task-specific

EEGConformer

CNN + Transformer
F184.1
Params1.2M
foundation

BIOT

Transformer · pretrained
F186.1
Params24M
foundation

LaBraM

Large brain model
F184.9
Params47M
foundation

CBraMod

Criss-cross transformer
F182.7
Params38M
foundation

REVE

4D positional encoding
F181.4
Params52M
foundation

SignalJEPA

Self-supervised JEPA
F180.8
Params31M
foundation

EEGPT

Pretrained universal
F179.5
Params88M
Backed by

Sponsors & organizing institutions

Compute, datasets, prizes, and engineering hours from 14 institutions across 5 countries. Yneuro hosts the platform; AWS provides the GPU cloud. Each track has its own sponsor: Alljoined for EEG-to-IMG, Meta FAIR Brain & AI for BCI decoding, InteraXon for sleep onset, and Meta Reality Labs for EMG-to-Text.

Meet the team →
Compute partner
Track sponsors
Organizing institutions
Warm-up opens Jul 1, 2026

Build with us. Benchmark with us. Publish with us.

The challenge is open-source, MIT-licensed, and community-driven. Add a task, add a dataset, add a model — every contribution makes the benchmark stronger.

bash · contribute
1$ git clone https://github.com/neural-interfaces26/neuralbench
2$ cd neuralbench
3$ pip install -e ".[dev]"
4
5# Add your task
6$ python scripts/register_task.py --modality eeg