A complete tour of Signal Studio — what it does, what makes it different, and the small details that make hours of pipeline work feel like minutes.
From raw recording to publication-ready figures — without ever leaving the application.
Infinite canvas. Snap-to-grid. Multi-select. Group, comment, reroute. The fluency of Figma, the precision of a DAW.
Click any edge to scope the signal at that point. Zoom, pan, scrub. GPU-rendered at 60fps even on 256-channel arrays.
Map any parameter to a macro knob. Sweep through the parameter space in real time, watch every downstream node react.
Waveforms · spectrogram · topomap · ICA · ERP · source · connectivity · stats. Synchronized scrubbing across all of them.
Native read/write of BIDS-EEG datasets. Auto-validate, auto-fill metadata, auto-export supplementary materials.
Every workflow is a tracked artifact. Diff your changes, roll back, fork a colleague's pipeline at any point in its history.
Native builds for macOS (Apple Silicon & Intel), Windows, and Linux. The same workspace file runs identically on all three.
Studio (dark, default), Daylight (high-contrast print), Lab (cream + blue), Focus (minimal). All themable via JSON.
Drop a BrainVision, EDF, FIF, BDF, or Neuralynx file onto the canvas. Signal Studio introspects channel types, montages, and event triggers automatically. A starter pipeline appears — ready to run, or yours to break apart.
Built on a custom WebGPU renderer that streams from disk. Scrub through twelve hours of 256-channel recording at 60fps. Zoom from days down to milliseconds without the UI ever stuttering.
A workflow file is human-readable, deterministic, and self-describing. Send one to your collaborator, drop it into their Signal Studio, and they see exactly what you saw — same data, same parameters, same plots, same numbers.
Signal Studio 0.9 is out now. Download for your OS, drop in a file, run a template — be looking at clean epochs in under two minutes.