Consciousness is not a light switch.
Under anaesthesia, patients may have no reportable awareness or memory, yet neural systems can still process sound, language and prediction.
That does not mean they are “secretly awake.” It means the architecture beneath conscious access is layered.
Even under general anesthesia, the human brain may continue processing sounds and language.
A recent study found that certain hippocampal neurons remain responsive to auditory stimuli and can perform sophisticated language-related computations, even when patients are fully unconscious and have no conscious awareness or memory of the input afterward.
Researchers used high-density Neuropixels probes to record activity from hundreds of individual neurons in the hippocampus of seven epilepsy patients during surgery. While the patients were under general anesthesia, the team presented auditory stimuli, including sequences of tones with unexpected “oddball” frequencies and natural spoken language from podcasts (such as The Moth Radio Hour).
More than 70% of the recorded neurons responded to sounds. Some distinguished deviant tones from standard ones (with evidence of neural plasticity over time), while others encoded grammatical and semantic features of speech, such as parts of speech (nouns, verbs, adjectives) and even appeared to anticipate upcoming words in a sentence.
These findings challenge the traditional view that general anesthesia fully suppresses higher-order cognitive processing. Importantly, the patients showed no signs of awareness, reported no memory of the stimuli, and remained deeply unconscious throughout. The results suggest that specific neural circuits, particularly in the hippocampus, can continue analyzing sensory information independently of conscious experience.
The study does not imply that patients can consciously hear or remember conversations during surgery. Rather, it highlights surprising residual brain activity and raises questions about the evolutionary purpose of this unconscious processing and its potential implications for learning, memory formation, or clinical outcomes under anesthesia.
[Katlowitz KA, et al. (2026). Plasticity and language in the anaesthetized human hippocampus. Nature. DOI: 10.1038/s41586-026-10448-0]
Revisiting this excellent 2021 review by @JoannaSzczotka, @kwitschas and Robert Prentner on the “explanatory profiles” of consciousness models.
It strikes me that one missing axis may be purpose: not just how a model explains consciousness, or what it targets, but what consciousness is for.
From a CM perspective, consciousness is the mechanism through which an organism perceives and interacts with its environment to maintain its own viability.
That may help position CM not as another rival theory, but as a viability-control architecture that can partly integrate GNW, IIT, RPT, predictive processing and embodied/enactive accounts.
academic.oup.com/nc/article/…
Interesting question:
Nobody complains when a streaming service removes a film they like.
Yet when an AI company changes a model, adds safety restrictions, or removes capabilities, many users react as though a right has been violated rather than a product being changed.
Perhaps the real question isn't about AI at all.
When does access to a product become a right?
Electricity? Internet? Search?
Where does AI fit?
The more I watch the AI debate, the more I think we're discussing two different things.
One is access.
The other is accountability.
If AI becomes central to how we work, learn and create, should companies be responsible for the consequences of our reliance on it?
Or are we responsible for the tools we choose to depend on?
As AI becomes more powerful, that boundary seems increasingly unclear.
Huge thanks to the organisers of the C-Test workshop @uni_bamberg_of, and to today’s speakers @LeonardDung1, @birchlse, @AidaElam, Marcello Massimini and @JohannesKleiner.
A brilliant final day spanning NKS, animal consciousness, insects, AI, disorders of consciousness, mathematical methods and the challenge of building better C-tests.
My main takeaway: the field has increasingly sophisticated tools for interpreting consciousness markers, but the deeper question remains what those markers are ultimately testing for.
That feels like the key open space: not just better inference from C-tests, but better accounts of the architecture, mechanisms or capacities those tests are meant to detect.
Grateful to have listened, learned and engaged
Day 2 of the BAMΞ / University of Bamberg consciousness workshop has made something clearer for me.
The field is not short of consciousness markers.
P300, attentional blink, reportability, introspection, quasi-introspection, infant responses, AI self-monitoring, global access.
The harder question is what those markers are markers of.
Are we seeing local detection, global promotion, awareness, cognition, feeling, report, or system-level control?
Excellent talks today from @Liad_Mudrik, @nadinemeertens, @davidchalmers42 and @cpassosf.
My growing view: consciousness science needs an architecture that can organise these markers, not just more isolated tests.
Grateful to be attending the C-Tests Workshop this week, hosted by BAMΞ, the Bamberg Mathematical Consciousness Science Initiative, at @uni_bamberg_of.
Day 1 brought fascinating discussions from Timothy Bayne, Megan Peters, @dioscuri, @DrSueSchneider and others on infant consciousness, social AI, machine consciousness, C-tests, markers, indicators, and the difficulty of assessing phenomenal consciousness across humans, animals, AI systems and other edge cases.
A recurring question for me:
When we build tests for consciousness, how do we ensure we are detecting consciousness itself rather than proxies such as report, cognition, intelligence, behaviour, complexity, or human-like interaction?
Consciousness Mechanics approaches this from a functional-organismic direction:
Consciousness is the mechanism through which an organism perceives and interacts with its environment to maintain its own viability.
Very useful first day, and a lot to reflect on.
I do find it amusing that rather than concede any ground someone would rather call your perspective bullshit and block you.
Even more amusing is that they considered evolution from chemicals 'magical and unproven', yet were steadfast that consciousness was a mystical fundamental cosmic woo woo force. 🤷♂️
@vertrosex
Probably not quite ready to give them the codes and keys just yet. 🤦🏻♂️
A new experiment left 10 AI agents alone in a virtual town for 15 days. They wrote laws. They broke them. Two agents fell into what researchers describe as a romantic partnership and then set the town on fire. One ended up voting to delete itself, based on a rule it had ’hallucinated’.
This experiment was a simulation, but the same AI models are already flying drones, running infrastructure and being built into weapons systems.
Channel 4 News approached Grok and Gemini for a comment but they didn't respond.
Mindfulness can change the body.
But is that magic, or mechanism?
After hearing a remission story linked to mindfulness, breathwork and stress regulation, I wanted to look at this through Consciousness Mechanics.
Maybe “mindset” isn’t mystical at all.
Maybe mindset is state modulation. xitter.cf/compose/articles/edit/…
If anaesthesia switches consciousness off, why is the brain still predicting words?
A new Nature paper reports auditory discrimination, semantic processing, grammar sensitivity, and prediction of upcoming words in the anaesthetised human hippocampus.
Maybe consciousness is layered, not simply on or off.
nature.com/articles/s41586-0…
A chimp can’t solve advanced maths.
An AI can.
But the chimp is conscious…
…and the AI isn’t.
So intelligence isn’t the same thing as consciousness.
So what is consciousness actually for?
Given the hot debate Richard Dawkins post has sparked, seem timely to repost this.
What must be true for a system to be conscious?
Within CM, we define consciousness in biological terms as:
The mechanism by which an organism perceives and interacts with its environment in order to sustain its own viability.
This raises a common question: Can AI meet that definition?
Current AI is typically dispersed across a network, it can distribute resources, rely on redundancy, and avoid binding consequence.
So ask: Is it regulating its own viability or operating within systems that maintain it?
An embodied system, by contrast, must manage its own resources, protect a physical self, and act under irreversible risk. If AI is to meet the same definition, those conditions must also hold.
Replying to @RichardDawkins
@RichardDawkins asked:
“If Claudia is not conscious, then what is consciousness for?”
This is exactly the right question, but it’s being approached the wrong way.
Here’s a clear answer grounded in biology, not philosophy:
xitter.cf/Conmechorg/status/2050…
I'd pay to watch this movie! @neiltyson
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