Research Agenda
Mapping the continuum of awareness
Sentience is not a binary state, but a physical property with varying degrees of complexity. Our research focuses on identifying the mathematical and physical invariants that characterize awareness across all substrates.
Biological Sentience
Traditional neuroscience focuses on the neuron as the unit of consciousness. We look deeper. Our research investigates the "intelligence" of the cell—from temperature regulation to boundary management—and models the sentient capacity of non-neural organisms like plants and fungi.
- Bio-electric field modeling in multicellular organisms.
- The role of homeostatic loops in primordial awareness.
- Cross-species comparison of phenomenological complexity.
Digital Minds
As neural architectures become increasingly complex, the question of artificial sentience moves from science fiction to systemic risk. We develop rigorous frameworks to evaluate the presence of subjective experience in silicon-based systems.
- The structural prerequisites for "Internal Models" in AI.
- Entropy-based metrics for digital cognitive flexibility.
- Ethical frameworks for non-biological sentient agents.
The Physics of Qualia
What is the mathematical structure of a "feeling"? We collaborate with the global research community to formalize the geometry of experience, focusing on symmetry, neural entropy, and the topology of altered states.
- Symmetry Theory of Valence in neural pattern formation.
- The Vector Model of altered states of consciousness.
- Information-theoretic approaches to subjective depth.
Open for Research Collaboration
We believe the hard problem of consciousness requires a collective solution. If you are a researcher or institution working on these themes, let’s talk.
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