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Interlace Neurotechnology Wing

Dream Team

Decode the overnight mind with research-grade rigor.

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Method · Research Framing

Research Framing

An interactive walkthrough of how Dream Team frames Subconscious Motion Field Reconstruction — as a scientifically responsible instrument, not a dream decoder.

Challenge

Indirect observability

Subconscious dynamics remain difficult to study because they lack direct observability and rely on indirect physiological proxies. Dream Team approaches this challenge by treating sleep-state signals as components of a dynamical system rather than isolated metrics.

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Our goal is not to “decode dreams,” but to build scientifically responsible tools that help researchers explore subconscious dynamics with clarity, rigor, and methodological transparency.

01 // Mission

Decode the overnight mind with research-grade rigor.

Dream Team is Interlace Systems' neurotechnology research wing — advancing neural signal decoding, AI-enhanced source localization, quantum sensor simulation, and responsible dream visualization engines.

Operating principles

  • Interpretable decoding over spectacle
  • Uncertainty published with every map
  • Simulate sensors before capital lock-in
  • Consent-aware visualization defaults

Decode with fidelity

Prefer interpretable pipelines and audited datasets over black-box spectacle. Every claim should survive lab scrutiny.

Localize with honesty

Publish uncertainty with every estimate. Spatial claims without error envelopes are not research products.

Simulate before you build

Quantum and classical sensor models guide hardware investment — physics-first, brochure-second.

Visualize responsibly

Dream Engine is a research narrative layer: sensory-safe, consent-aware, and never a substitute for clinical care.

02 // Prototype Modules

Four research engines,
one extensible shelf.

Each module is a registry entry with a live demo and a dedicated lab page. Add future neurotech tools to the registry — the grid and session graph grow automatically.

Demo ready01

Neural Decoding

Signal → meaning without guesswork.

Multi-channel neural time-series decoding with AI-assisted feature extraction, artifact-aware pipelines, and interpretable latent maps — built for research-grade signal fidelity, not consumer hype.

  • EEG / MEG / fMRI pipelines
  • OpenNeuro adapters
  • Lightning reconstruction
  • Interlace demo bundles

Live demo · neurodecode

OpenNeuro-ready reconstruction preview

MSE

0.018

Corr

0.910

SNR dB

11.2

Contract preview from interlace.dream-team.demo-bundle/v1 · neurodecode/ · slot demo-neural-decoding

Open Neural Decoding lab
Demo ready02

Source Localization

Where the signal originates.

AI-enhanced inverse modeling that fuses MNE forward/inverse physics with a deep spatial enhancer — tightening cortical generator estimates and publishing uncertainty with every map.

  • MNE forward / inverse
  • dSPM · sLORETA · LCMV
  • DL spatial enhancer
  • Uncertainty + FWHM

Live demo · sourceloc

Inverse + AI spatial enhancer preview

Loc err mm

9.2

FWHM mm

20

Sharpen ×

1.40

Contract preview from interlace.dream-team.demo-bundle/v1 · sourceloc/ · slot demo-source-localization

Open Source Localization lab
Demo ready03

Quantum Simulation

Sensor physics before the hardware.

Quantum sensor simulation benches for optically pumped magnetometers and related modalities — exploring noise floors, geometry tradeoffs, and array layouts before capital locks in.

  • OPM noise models
  • Array geometry
  • SNR envelopes
  • Hardware foresight

Live demo · quantumsim

OPM array · noise budget · SNR foresight

Noise fT/√Hz

15.3

SNR dB

5.2

Sensors

36

Contract preview from interlace.dream-team.demo-bundle/v1 · quantumsim/ · slot demo-quantum-simulation

Open Quantum Simulation lab
Demo ready04

Dream Engine

Visualize the overnight signal.

A neural 3D rendering engine that turns decoded sleep-stage dynamics into sensory-safe dream-like environments — Three.js scene graphs for research storytelling, not entertainment deepfakes or mental-imagery claims.

  • Latent → scene graph
  • Three.js environments
  • Sensory-safe policy
  • Neurodecode bridge

Live demo · dreamengine

Latents → scene graph → sensory-safe 3D narrative

Lucidity

0.56

Motion

0.39

Depth

0.68

Scene-graph fixture from interlace.dream-team.scene-graph/v1 · dreamengine/ · slot demo-dream-engine · not a mental-imagery reconstruction

Open Dream Engine lab
02b // Session Graph

Four engines,
one overnight stack.

Quantumsim can synthesize sensor fields. Neurodecode decodes. Sourceloc localizes with uncertainty. Dream Engine visualizes latents as a sensory-safe scene graph — wired through interlace.dream-team.demo-bundle/v1.

  1. 01 · Simulate

    Quantum Simulation

    quantumsim/

    Sensor physics before the hardware.

    Open lab
  2. 02 · Decode

    Neural Decoding

    neurodecode/

    Signal → meaning without guesswork.

    Open lab
  3. 03 · Localize

    Source Localization

    sourceloc/

    Where the signal originates.

    Open lab
  4. 04 · Visualize

    Dream Engine

    dreamengine/

    Visualize the overnight signal.

    Open lab

Required handoff today: neurodecode latents → dreamengine scene graph. Optional: quantumsim FieldBatch into decode/localize, sourceloc spatial priors into Dream Engine. Schema: interlace.dream-team.session-graph/v1 · GET /api/dream-team/session-graph.

02c // Cite the stack

Software notes,
not clinical claims.

First-party prototype citations for academic collaboration. Methods papers and Zenodo DOIs follow the public-repo cut.

03 // Research Track

Stage-gated research,
honest about maturity.

Phased like feasibility → prototype → integrated lab stack. Demo slots stay wired even while modules are still in concept or lab status.

  1. 01

    Months 0–4

    Signal foundation

    Stand up decoding baselines, open dataset adapters, and reproducible preprocessing recipes with QA gates for channel quality and artifact load.

  2. 02

    Months 4–9

    Localization + sim bench

    Ship first source-localization prototypes with uncertainty surfaces, and a quantum sensor simulation bench for array geometry experiments.

  3. 03

    Months 9–14

    Dream Engine alpha

    Connect decoded sleep dynamics to the visualization engine with sensory-safe defaults, researcher annotations, and exportable session packs.

  4. 04

    Year 2

    Integrated lab stack

    Unify modules behind a shared session graph — demos, ethics review hooks, and partner lab onboarding for controlled pilot studies.

  5. 05

    Year 2+

    Extensible tool shelf

    Open the registry for additional neurotech tools — new modules plug into the same demo slots, roadmap, and collaboration surfaces.

04 // Engage

Join the research,
or collaborate from outside.

Two clear paths into Dream Team — contribute inside Interlace Systems, or partner from a lab, university, or industry R&D group.

Path A

Join the Team

Researchers, ML engineers, sensor physicists, visualization, and ethics partners building the overnight stack.

Start application

Path B

Collaborate with Us

University labs, clinical research groups, sensor vendors, and grant consortia — collaboration first, productization later.

Propose partnership

Prefer company contact? Interlace Systems LLC

05 // Join the Team

Builders of the
overnight stack.

Researchers, ML engineers, sensor physicists, and ethics partners — Dream Team is assembling a modular neurotech crew inside Interlace Systems.

Select one or more tracks — each choice shapes the subject line so we route to the right lead (1 selected).

Join the Team

Tell us where you fit

Or email directly
06 // Collaborate with Us

Labs, grants,
and co-development.

We partner with universities, clinical research groups, sensor vendors, and grant consortia — collaboration first, productization later.

Select one or more tracks — each choice shapes the subject line so we route to the right lead (1 selected).

Collaborate with Us

Propose a collaboration

Or email directly
Next step

Build the overnight stack with us

Whether you want to join Dream Team or collaborate from an external lab — Interlace Systems is ready to explore decoding, localization, quantum simulation, and dream visualization research.

Join the Team
Researchers, ML, sensors, ethics
Collaborate with Us
Labs, grants, industry R&D
Company contact
Interlace Systems LLC

Outreach // Pitch Outline

Pitch deck outline

Walk the institutional narrative slide by slide — keyboard arrows supported. Structure for academic and partnership conversations, not a finished deck.

Slide 01 / 10

Problem

Subconscious and sleep-state dynamics are under-visualized, difficult to interpret, and rarely represented in ways that support research or institutional analysis.

Methods // Whitepaper

Dream Engine Whitepaper

Subconscious Motion Field Reconstruction frames sleep-state dynamics as an interpretable dynamical system — mapping multi-modal physiological signals into spatial vector fields of flow, turbulence, and attractor behavior. The paper documents synthetic signal generation, feature extraction, modality-gated motion mapping, and the interactive viewer without claiming to decode dream content. Download the full PDF for method detail, discussion, and planned empirical extensions.

PDF · Methods preprint · Formatted references

Download PDF

Full text of Subconscious Motion Field Reconstruction for academic review.