Run your entire BCI workflow in one desktop app, then publish methods others can actually reproduce.
Built for biosignals
EEG, fNIRS, and EMG in one workspace.
Pipelines, not scripts
Design the method once, reuse it anywhere.
Runs on your machine
Your data and compute stay local by default.
Method travels with results
Workflow, settings, and reports stay attached.
Do the work locally, then publish the method, no scripts to stitch between the two.
BCILattice
The desktop workspace you actually work in.
Signals
Import files or stream live EEG, fNIRS, EMG.
Analysis
ICA, epoching, time-frequency, and features.
Training
Visual pipelines with local CPU/GPU training.
Reports
Publication-ready figures and exports.
BCINexus
Where the work gets shared and reused.
Workflows
Reusable, versioned pipelines.
Review
Team feedback and reviewer sign-off.
Publish
Methods and results others can rerun.
Community
Discover, cite, and reuse work.
One account works across both apps.
Acquire, preprocess, build pipelines, train models, and publish without stitching scripts together.
BCILattice
One app. Your entire BCI workspace.
Real analysis, not scripts
Channel quality and visualizations, ready before you train.
One format, every stage
Same project from raw signal to shared study.
Built for teams
Share workspaces, compare runs together.
Start in BCILattice, package the method with its artifacts, then publish only when the work is ready for others to inspect and reuse.
Download BCILattice
Run work locally
Load your data
EEG, fNIRS, EMG
Reuse a study
Import published work
Build the method
NeuralFlow and MLFlow
Train and report
Keep compute local
Publish context
Share artifacts
Review and cite
Feedback, link, reuse
The workflow above runs on these. Each one ships in the same download, and each one draws the picture its own work makes.
Build one pipeline, compare models, track every run.
5 models × subjects · logged in Experiment Hub
Multi
subjects
Side by side
model results
1 workflow
drives it all
Every workflow is complete and reproducible.
WHAT YOU PREPARE:
Complete your workflow in BCILattice, including preprocessing, training, evaluation, reports, models, and generated artifacts.
WHAT YOU DESCRIBE:
Add the title, abstract, methodology, datasets, authors, references, and supporting documents.
READY FOR PUBLICATION:
Your research is organized into a complete submission instead of disconnected files.
Private, shared, or public, your choice.
VISIBILITY OPTIONS:
Keep your work private, share it with collaborators, or submit it for public publication.
QUALITY REVIEW:
Reviewers evaluate completeness, reproducibility, documentation, and overall research quality.
PUBLICATION READY:
Only approved research moves forward to public release.
Every publish creates a reusable research asset.
WHAT GETS PUBLISHED:
Workflow, datasets, artifacts, reports, citations, downloads, version history, and supporting documentation.
COMMUNITY IMPACT:
Researchers can reproduce, extend, benchmark, fork, and cite your work while preserving complete research lineage.
Explore published studies. Adapt proven methods. Publish reproducible research.
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Published studies
…
Total topics
…
Published datasets
Free
to browse and import
Connect with researchers, learn from proven approaches, and publish work that others can reproduce with confidence.
Our mission is to give the BCI community one open home for its work, where anyone can discover, build, share, review, and reuse datasets, methods, models, workflows, and studies.
Every result carries its lineage: who produced it, how it was made, who reviewed it, and where it has been reused. Contributors are credited at every step, so researchers can go from finding an idea to building on it right away, picking up exactly where the last study left off.
BCINexusBCINexus
The research infrastructure for BCI.
No. BCINexus complements publishing platforms such as IEEE, Springer Nature, Elsevier, Frontiers, and PLOS, as well as neuroscience journals like the Journal of Neural Engineering. Your paper is published through your chosen venue, while BCINexus hosts the complete research workflow, datasets, code, studies, models, and documentation, making your work reproducible, reusable, and easy to cite.
Still have a question? Talk to the team
One account across both, on the same cloud infrastructure. Switch on sync and your studies are backed up and safe — published or not.
Where the work gets found, reviewed and reused.
Make your work part of a larger research network
Discover what others are working on
Connect your work with the BCI community
Turn completed work into reusable research
Research that can be examined and reproduced
Share research without losing context
Turn published research into a starting point
Re-run. Adapt. Extend.
Every derivative work stays linked to its source
Keep your team around the same research
The desktop workspace you actually do the research in.
From raw data to finished study, faster than ever
Your data, analysis and workflows in one place
EEG, fNIRS and EMG in one workspace
Build the pipeline your research needs
Extend with your own libraries and methods
Your entire experiment history, connected
AI that works with your workflows and results
Create and edit reports without leaving your research
Turn published methods into new experiments
The whole study, packaged as one
Start with your data
From raw signals to published research in one workflow.
We're still improving this, as best we can. Doing research and need something specific? Ask for a feature
