The ideas behind a digital mind.
Consciousness sits where neuroscience, mathematics, philosophy and AI meet. These explainers cover the essentials in plain language, with pointers to the original research.
Can AI be conscious?
What artificial consciousness means, how researchers try to assess it, and why it is still open.
Read → ExplainerTheories of consciousness
Global workspace, integrated information, recurrent processing, higher-order and predictive theories in one place.
Read → ExplainerThe hard problem
Why explaining what a brain does is different from explaining why it feels like something.
Read → ExplainerConnectomes and brain graphs
How graph theory describes real nervous systems, from 302 neurons to a cubic millimetre of cortex.
Read → ExplainerThe mathematics of neurons
A friendly tour of computational neuroscience, from Hodgkin–Huxley to network dynamics.
Read → ExplainerSelf-representation in AI
What it means for a system to model itself, and why it may matter for machine minds.
Read →Short answers to the questions people ask us most, from "can AI be conscious?" to "what does G = (V,E) mean?"