Consciousness Lab illustrative research scene
Mind & cognition · MindForge research

Consciousness Lab

Cross-disciplinary inquiry into mind, cognition, subjective experience, and the limits of computational explanation.

Research framingMind & cognitionPublic overview

Consciousness Lab creates a shared research surface for neuroscience, cognitive science, AI, philosophy of mind, and information theory. It distinguishes empirical observations from philosophical commitments and treats extraordinary claims as requiring unusually clear evidence.

Questions worth building a program around.

Consciousness research crosses several levels of explanation: subjective reports, cognitive function, neural activity and philosophical interpretation. The lab's purpose is to make those levels explicit and study how they relate. Questions about attention, memory, self-models and machine experience should be framed so readers can see which part is empirical, which is conceptual, and which remains unresolved.

Attention, memory and self-modelsNeural and computational explanationsFirst-person reports and measurementMachine experience and ethical questions

From an idea to inspectable work.

A proposed study begins by defining the phenomenon and the observation that would count as relevant evidence. Literature maps can compare theories without assuming that shared terminology means shared commitments. First-person reports require careful interpretation and ethical treatment. Discussions of AI consciousness should identify the criteria being used and consider competing explanations for the same behavior. The research record should preserve disagreement rather than compress a contested question into a single confident answer.

01

Which theories make meaningfully different empirical predictions?

02

What can reports, behavior, and physiology establish about experience?

03

Where do computational accounts explain function but leave phenomenology open?

◉Workstream 1Theory and terminology map
◉Workstream 2Claim-to-evidence matrix
◉Workstream 3Experimental and philosophical question registry
Mind & cognition research illustration
Mind & cognition · MindForge research
  1. 1

    Publish a landscape review

  2. 2

    Define candidate discriminating tests

  3. 3

    Form an interdisciplinary review circle

Where a contribution can matter.

The program welcomes philosophical analysis, neuroscience-informed review, measurement design and accessible literature synthesis. Human-subject research would require an appropriate protocol and oversight before recruitment or data collection.

Program support can help fund documentation, computation, reproducible tools and qualified review. Explore research partnerships or support the institute.

Move the work forward

Bring expertise, criticism, resources, or partnership.

Contact the program