HELM BRAIN MODEL / IBM-1RESEARCH PROGRAM

Helm Implicit
Brain Model

Our research model of brain state and dynamics. Explore different observations and scales through task-specific views of a shared computational substrate.

Helm / Brain Model researchConceptual visualization
RESEARCH FOCUS

Brain dynamics, neural observation models, and brain–body interaction.

AVAILABLE RESEARCH ARTIFACTS

Public code, technical documentation, notebooks, and checkpoint releases.

ONE DECLARATION. DIFFERENT VIEWS.

One declaration, task-specific models.

The framework describes shared structure, then instantiates a task-specific model at the required regions, resolution, and timescale.

01 / FIELDS

What has a state?

Quantities and variables that describe the system.

02 / ANATOMY

Where does it belong?

The structures that give those variables a location.

03 / TOPOLOGIES

What can interact?

The relationships through which states influence one another.

04 / PROCESSES

How does it change?

The dynamics that evolve the state over time.

Shared declarationRegion + resolution + timescaleTask-specific model

“Implicit” refers to deriving models from a shared declaration as needed. It does not mean unconscious cognition or establish a System 1 performance claim. Explore the architecture ↗

RESEARCH QUESTIONS

Research questions and experimental results.

01 / NEURAL OBSERVATIONS

Study electrical readouts.

Investigate how modeled states relate to EEG and other measurements, with task-specific forward models and evaluation.

02 / SENSORY DYNAMICS

Probe learned representations.

Study relationships between sensory input and neural observations, using explicit baselines and ablations to test what the dynamics contribute.

03 / EMBODIMENT

Explore brain–body feedback.

Investigate interfaces between neural dynamics, bodily state, and movement in simulation. Physical transfer requires separate experiments.

A BOUNDED RESEARCH RESULT

Report the result
with its comparison.

The repository reports visual retrieval on the designated 200-concept THINGS-EEG2 test set. The architecture’s contribution varies by task; this result does not establish general superiority.

Reported top-1 retrieval · designated test set
ModelResult
Implicit brain model63.5%
Dynamics-free encoder66.5%

Retrieval is not reconstruction. The repository withdraws the directional superiority claim. Read the experiment notes ↗

Program notes also describe tasks where added dynamics do not improve the relevant baseline. Treat each result as version- and task-specific. Read the program status ↗

HOW THIS FITS INSIDE HELM

Connections to Helm’s broader research.

01 / BEHAVIORAL SIMULATION

Investigate mechanisms.

Explore how brain and body dynamics might inform future behavioral models. The reviewed experiments do not establish prediction of buying decisions or population behavior.

02 / PHYSICAL AI

Study perception and action.

Investigate bodily feedback and embodied dynamics within simulation, alongside dedicated robot environments and control systems.

03 / DECISION MODELS

Keep the interfaces distinct.

Study potential connections with specialized judgment models. Brain-model research and operational System 1 models have different evaluation requirements.

EXPLORE THE RESEARCH

Code, documentation, and checkpoints.

Research artifacts are available through the project repository and checkpoint release. The public model card lists a non-commercial research license; review the applicable terms and data restrictions for any intended use.

BUILD WITH HELM LABS

Work with us on the next experiment.

For researchers and teams exploring neural dynamics, embodied cognition, and shared representations.

Discuss a research collaboration

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