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.
¬‚¦
Published studies
9+
Paradigm types
5+
Paradigm categories
Free
to browse and import
Connect with researchers, learn from proven approaches, and publish work that others can reproduce with confidence.
Brain-computer interface research is spread across datasets, scripts, models, laboratories, papers, and private workflows. BCINexus brings these pieces together into one research ecosystem where people can discover, build, share, review, and reuse BCI work.
Research should not stop at publication. A result should carry enough context to understand where it came from, how it was produced, and whether it can be trusted. BCINexus connects data, methods, models, workflows, studies, and people so researchers can move from finding an idea to building on it without reconstructing the entire experiment.
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
Start with your data
From raw signals to published research in one workflow.
