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Home/Theory Arena. Do Consciousness Theories Choose Their Own Evidence?
Theory Arena. Do Consciousness Theories Choose Their Own Evidence?
Four families of theories compete to explain consciousness. Global workspace theories say an
experience is information broadcast across the brain. Integrated information theories tie it to
how much a system’s causes are integrated. Higher order theories need the brain to represent its
own states. First order and predictive processing theories place it in the sensory areas
themselves, through local recurrent activity or prediction.
Itay Yaron, Lucia Melloni, Michael Pitts and Liad Mudrik built the ConTraSt database to ask how
these theories are tested. They coded experiments that read their result in light of one of the
four families, and found that the theory an experiment supported could be predicted from its
methods alone. This console replays their open data, now
over 500 experiments, and runs that test again.
Theory ArenaTheories and their methods, ConTraSt data
LOADINGStatus
ArenaChapter
–Year
–Experiments
–Guess, balanced
This graphic needs a canvas and a script. The text below carries the same information.
Released dataOrange supportsBlue challengesGreen guessed right
What the console shows
Chapter 1, Arena. The literature from 2001
on, one year at a time. Each experiment drops into the column of every family it was read as
supporting, above the line, or challenging, below it. An experiment read against two families
appears twice. The buttons show only experiments designed to test a theory, only those
interpreted after the fact, or only those that mention a theory.
Chapter 2, Methods. For each family, how often its supporting experiments used a method:
no report, a change of state such as sleep or anaesthesia rather than a change of content,
and each recording technique. The shares form as the years play.
Chapter 3, Guess the theory. A naive Bayes classifier sees only the methods of an
experiment and guesses which family it supported. Each experiment is guessed by a model fitted
on all the others.
What this replay finds
The numbers in this section come from the console’s data file, the ConTraSt snapshot of
the build date.
The methods give the theory away. Among the
some experiments that support one family and challenge none,
the guess from the methods alone reached a balanced accuracy of
this value, where chance is
this value. None of 1000 guesses on
shuffled labels did as well.
Not only through each theory’s own measures. Some measures belong to one theory, such as
phi for integrated information. With every measure left out, so that only the technique, the
paradigm, the task, the sample and the design remain, the balanced accuracy was still
this value.
Higher order theories are left out of the guess. Only
a few experiments support them alone, too few to
learn from.
Experiments designed to test a theory mostly support it. Of the
some experiments a global workspace theory
drove, some were read as supporting it and
some as challenging it. For integrated
information the counts were some and
some of
some, and for first order theories
some and
some of
some.
A guess that works means each family is tested with its own kind of experiment. Sleep
and complexity measures go with integrated information. Oddball tasks and masking go with the
global workspace. Figure and ground, and brain stimulation with TMS, go with first order theories.
When each theory is tested on its own ground, its supporters rarely meet a result that could
refute it. This is the problem that adversarial collaborations such as COGITATE were set up to
fix, with two theories committing in advance to opposite predictions for the same experiment.
What the console shows and does not show
The coding is ConTraSt’s. Whether an experiment supports or challenges a family is how its
authors read their result, as coded by the database team. This console does not judge the
experiments.
The guess is simpler than the paper’s. The paper used its own analysis. This console uses a
naive Bayes on presence and absence of each method that at least 8 experiments share, with
leave one out and 1000 label permutations, so its numbers are this site’s.
A snapshot. The database grows. The build takes a new snapshot when it runs again.
Why this belongs on this site
This project studies consciousness as an emergent property of physical systems, and it borrows
from more than one of these families. Its agent has a global workspace that broadcasts what wins
a competition, and the project has instruments for phi and for perturbational complexity, which
come from the integrated information side. The lesson of this database applies to the project
too. A measure chosen because a theory favours it will tend to favour that theory, so the
project’s own tests need predictions that could fail. The sister consoles show some of those
measures on real brains, the brain’s echo to a pulse and
sleep and dreams.
Sources
Yaron, I., Melloni, L., Pitts, M. and Mudrik, L. (2022). The ConTraSt database for analysing and
comparing empirical studies of consciousness theories. Nature Human Behaviour 6, 593 to 604.
doi:10.1038/s41562-021-01284-5
Data: the ConTraSt database, contrastdb.tau.ac.il, licence
CC BY-SA 4.0. The file this console loads, arena.json, is derived from it and shared under
the same licence.