Welcome to Coherence Workstation

You already know how to read an EEG. You’ve looked at power spectra, compared z-scores to norms, and made clinical decisions based on what you saw. The Coherence Workstation doesn’t replace that skill—it gives you a better instrument for using it.

What This Is

Coherence Workstation is a desktop application for clinical EEG analysis. It takes recordings from Neurofield EEG/ERP or plain EDF files, runs them through a transparent processing pipeline, and presents the results in an interactive dashboard organized around a step-by-step clinical reading.

What makes it different from other QEEG tools isn’t the math—it’s the organization. Instead of handing you a flat set of metrics and maps, the Coherence Workstation structures your data across multiple levels of description: spectral content, temporal dynamics, spatial architecture, connectivity, source localization, and perturbation-response patterns. Each level reveals something the others can’t.

The goal is interpretation, not classification. You’re not looking for a diagnosis in the data. You’re building a structural description of how this particular nervous system organizes itself—where it’s flexible, where it’s stuck, where it compensates, and where those compensations cost something.

Who It’s For

You’re a clinical neurophysiologist, neurotherapist, or QEEG practitioner. You’re comfortable with EEG data but want a tool that does more than generate z-score maps against a normative database. You want to understand the recording—not just measure it.

The Coherence Workstation supports two interpretive lenses:

Clinical Neurophysiology—organized around the Three-Layer Clinical Model (substrate, architecture, dynamics) and five organizational dynamics that describe how nervous systems fail to organize themselves. This lens reads the data as a system: what the spectral slope reveals about temporal hierarchy, what ICA components reveal about resting architecture, what ERP patterns reveal about perturbation-response dynamics. It stays within the domain of measurable brain features—but it reads them structurally rather than statistically. Instead of asking “how far is this value from the norm?” it asks “how is this system organized, and where does the organization break down?”

The Grammar of a Mind—a seven-question structural protocol that places the same measurable features in the context of the psyche. What does the terrain look like? What structures shaped it? How does the navigator move? Can it differentiate demands? Does it recover? What is the ego’s relationship to the structures it lives among? And what does the person report living inside this organization? This lens draws on dynamical systems theory, Jungian depth psychology, and clinical neurophysiology as three languages converging on the same level of description: the level of organization. It reads the EEG not just as a description of brain activity, but as the terrain a psyche operates within—a map of how this person’s nervous system has learned to meet the world.

You don’t have to use either framework. The data is the data. But the software is designed to make structural interpretation natural—not just possible. The clinical neurophysiology lens gives you a rigorous system-level reading of the brain. The Grammar of a Mind lens asks what that reading means about the person sitting in your office.

What You’ll Find Here

This documentation is organized to mirror how you’ll actually use the tool:

Getting Started walks you through installation, your first analysis, and orientation to the dashboard and its key features.

Reading the Analysis covers each analysis stage in the dashboard—what it measures, why it matters clinically, and how to read the output. These pages teach you to think across stages, not just within them.

The Coherence Framework explains the interpretive framework behind the software: the Three-Layer Clinical Model, the five organizational dynamics, the coherence basin model, and the AODEMR perturbation-response sequence.

Clinical Patterns shows what the organizational dynamics look like in actual data—composite clinical vignettes that walk through multi-stage readings.

Reference includes a glossary, normative comparison details, frequently asked questions, and release notes.

The Processing Pipeline documents every step of the signal processing pipeline, every parameter choice, and why each decision was made. Most EEG tools hide this. We think you should be able to see exactly what happens to your data—and why.

The AI Research Assistant

Every page of the dashboard includes access to the AI Research Assistant—an AI-powered clinical mentor that can analyze your data in context, answer questions about what you’re seeing, and help you think through the clinical implications. It doesn’t diagnose. It doesn’t prescribe. It helps you reason.

The Research Assistant works in three modes: a guided tour for orientation, a collaborative mode for working through findings together, and a reasoning partner mode for experienced clinicians who want a thinking companion, not a teacher.

A Note on This Documentation

These docs are a living resource. Some pages are fully written; others are stubs marking where content is coming. If you see a “Coming Soon” notice, it means we know what belongs there and it’s on the way.

The documentation is part of the product. When you read these pages, you’re not just learning software—you’re learning a way of thinking about EEG data that connects measurement to meaning.