I am an independent researcher and author. My work explores how information, cognition, and consciousness can be understood within a single, empirically grounded framework — bridging neural networks, high-performance computing, and theoretical cognition.
At the centre of my research stands an early consciousness and cognition model — the 2 + 1 rule — and its connection to recent large-scale studies that fundamentally challenge the two leading theories of consciousness, Global Workspace Theory (GWT) and Integrated Information Theory (IIT).
Why my model matters
Recent studies published in Nature have shown that both GWT and IIT fail to reliably predict when or where conscious experience emerges in the human brain. My framework approaches the question from a different direction — treating information as the fundamental substrate from which cognition and experience emerge — and applies equally to biological and artificial systems.
Selected preprints
Cognition and Consciousness
On the 2 + 1 parameters as the interface between information and the cognition space.
Read on Zenodo →Consciousness as a Spherical Processing Node
A structural model of consciousness grounded in information geometry.
Read on Zenodo →