method
active
method:fmri-neural-criticality-measurementfMRI Neural Criticality Measurement
Proposed empirical method alongside EEG for measuring signatures of criticality in post-dual agents
Neighborhood — ranked by edge-count
Methods (1)
method
- EEG Neural Criticality Measurementrelated_toProposed empirical method for testing the criticality prediction in populations reporting stable selflessness
Hypotheses (1)
hypothesis
- Agents who have undergone stable emptiness realisation will exhibit neural dynamics closer to criticality than matched controlsassociated_withPrimary empirical prediction derived from the reduced VFE of the post-dual agent
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Threshold between ordered and chaotic dynamics; predicted to be more prevalent in post-dual agents due to lower VFE
- Application of active inference to fMRI data; cited as prior use of the framework
- How do we incorporate a focus on behavioral relevance in our measures of neural similarity?question0.718Direct motivating question for MAS's design principle of causal behavioral matching.
- Method used to identify the periodic features and their periods in Llama-3.1-8B's MLP neurons
- Neural correlate of insight used to support prediction about early neural activity following structure learning
- Michael Johnson's prior work on how neural networks (and brains) can be 'annealed' to find optimal states.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.708Central methodological claim of the paper.
- Minimal set of neural mechanisms jointly sufficient for the occurrence of a conscious experience; dominant neuroscience approach critiqued as insufficient for causal theory