BCILattice Docs
User guides, AI workflow tutorials, pipeline references, team collaboration docs, and technical architecture. Everything you need to go from first install to publishable research.
Publishing, peer review, teams, and the API are documented in the BCINexus platform track.
Reference Documents
Reference docs and downloadable files for the current BCILattice workflow.
User Manual
Complete guide to every module
Practical guide to local studies, Data Manager, preprocessing, Neural Flow, ML Suite, Experiment Hub, reports, AI Chat, cloud sync, and teams.
Technology Stack
Architecture & engineering decisions
Deep-dive into the app stack: PySide6 desktop UI, local FastAPI service, PostgreSQL-backed APIs, PyTorch, MNE-Python, and optional BCINexus account services.
Components Reference
Every block in every designer
All 28 NeuralFlow blocks, 5,400+ MLFlow catalog blocks, and every Workflow Designer component with full parameter details.
Document Library
Click any document to open it in the viewer.
Technical Overview
Architecture, modules, data flow, and network topology
System Requirements
OS, hardware, GPU, storage, and software dependencies
Security & Compliance
Implemented controls, compliance readiness, encryption, and audit records
Driver API (partners)
Hardware driver integration for device manufacturers
Using the ML Suite
MLFlow, Workflow and Training: how the three steps combine
Smart Training
One checkbox that configures, optimises and diagnoses a run — and records every decision
Multimodal & Media
Text, image, audio and video bound to the recording clock: sets, the four binding routes, six blocks, the paradigm runner
Pipeline Recipes
Channel selection, PCA, cross-validation, LOSO, domain adaptation
Custom Blocks
Inputs, outputs, graphs and the everyday BCILattice palette
Advanced Blocks
Control flow, domain adaptation, continual learning, training
Extensions
24 curated packages, or any spec, turned into sandboxed palette blocks
Results Validation
ANOVA, t-tests and post-hoc families across sessions, pipelines and experiments
Results Export & Notebook
Every result table as CSV or Excel, and a notebook to write the analysis we did not build
Doc Editor
Write the whole report in the study: templates, real pages, pipeline snapshots, linked results
Report Integrity
Intervals, chance level and per-class results on every number; a check before every export; marking, releases and sign-off
Model Catalog
The bundled BCI model classes and their constructor parameters
Can't find what you need?
Email support with your app version, operating system, module name, and the relevant log or error text.