Synaptix standardizes and accelerates EEG preprocessing — giving every lab a reproducible, lab-calibrated pipeline from raw signal to publication-ready output.
Every lab handles EEG preprocessing differently — and manually. The result is hours of repeated work, inconsistent quality, and pipelines that are nearly impossible to reproduce across sites or sessions.
A standardized, lab-calibrated pipeline that runs automatically — from raw EEG to a clean, exportable dataset — in minutes, not hours.
Import from any amplifier or format — BrainVision, EDF, SET, FIF. Metadata normalized automatically.
Automated artifact flagging using ASR, ICA decomposition, and bad-channel detection — logged and auditable.
Each lab preserves its own pipeline standards — Synaptix adapts to your workflow, not the other way around.
Auto-generated QC summary with channel maps, rejection rates, ICA components, and signal quality scores.
BIDS-compliant archives, EDF/BDF, JSON summaries, and LaTeX-ready figures — ready for analysis or submission.
Every component is designed around the demands of peer-reviewed research — reproducible, validated, and extensible.
Ingest and visualize up to 256-channel EEG streams at full bandwidth with automatic impedance monitoring and live artifact flagging.
PREP pipeline, ICA decomposition, ASR, and bandpass filtering — configurable per-paradigm with full audit trails and parameter logs.
Define epochs by trigger codes, response markers, or custom logic. Epoch rejection and interpolation are logged and reproducible.
FFT, Welch PSD, Morlet wavelets, and ERSP/ITC — with interactive topographic maps exportable in standard neuroimaging formats.
LORETA, sLORETA, and dipole fitting with MRI-registered head models, compatible with MNI-space atlases and Talairach coordinates.
LaTeX-ready figures, BrainVision and EDF/BDF exports, and machine-readable JSON summaries compatible with BIDS standards.
A four-stage workflow designed to help labs move from raw EEG recordings to clean, documented datasets for downstream analysis.
Import EEG recordings and organize metadata, channel information, and study details in a consistent format.
Apply lab-calibrated preprocessing steps such as filtering, artifact screening, bad-channel review, and optional ICA-based workflows.
Inspect quality-control outputs, understand preprocessing decisions, and adjust parameters when needed.
Export cleaned data, preprocessing logs, and QC reports for analysis in tools such as EEGLAB, MNE, or your lab's existing workflow.
Early-access labs reported dramatic improvements in turnaround time and team efficiency within their first month.
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Built by researchers who have spent years in the EEG lab — and know exactly how painful preprocessing can be.
Synaptix is an EEG preprocessing and quality-control tool designed to help research labs standardize and speed up their preprocessing workflows — from raw signal import all the way to a clean, exportable, BIDS-compliant dataset.
No. Synaptix is designed to work alongside existing EEG tools and lab workflows, not replace them. Think of it as a standardized preprocessing layer that plugs into your existing toolchain and handles the repetitive, time-consuming parts automatically.
Yes. Synaptix is built around lab-calibrated workflows, so each lab can preserve its own standards — specific filter settings, epoch windows, ICA criteria, and rejection thresholds — while still benefiting from automation and reproducibility.
Synaptix is for EEG researchers, lab managers, graduate students, and research teams who spend significant time on preprocessing and quality control. It's especially valuable for labs running multi-site studies or training new research assistants.
We are currently speaking with researchers and developing our early prototype. You can request a demo or contact us to learn more — early-access labs will help shape the product and receive priority onboarding support.