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Martin M. Monti

UCLA Department of Psychology; UCLA Brain Injury Research Center, Department of Neurosurgery

Martin Monti researches consciousness where its absence is measurable. At UCLA’s Brain Injury Research Center he works on disorders of consciousness, including the covert consciousness problem, patients who are behaviourally unresponsive while neuroimaging shows preserved cognition. That clinical base gives his judgment about consciousness evidence an unusual property, it is grounded in detection methods that have to work at the bedside rather than in simulation.

In October 2026 he co-authored What Can Analogy Tell Us About Artificial Consciousness? with Keith Holyoak. The paper formalises evidential analogy about consciousness around the soft INUS set, the treated-as-collection of candidate causal factors that need not each be strictly necessary, and applies four adjustments, causal relevance weighting, unknown causes, disabling differences, and alternative routes. The biological analysis grades analogical support by shared causal machinery across phylogenetic distance. The artificial-intelligence analysis concludes that behavioural similarity provides only limited evidence for consciousness in current systems, because the relevant causal correspondences with biological brains remain poorly established, and the paper’s closing agenda calls for intervention-based tests, lesion, anaesthesia and perturbation studies, before any behavioural argument can carry the inference.

Monti does not carry a philosophical position label on this site. His contribution is methodological and clinical, an evidential standard derived from cases where consciousness has to be detected without behavioural cooperation, which is also why his framework gives limited weight to behavioural performance in machines.

Known for. Covert consciousness detection in brain-injured patients, disorders of consciousness research, co-author of the soft INUS set causal framework

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