pathological slow-wave suppression

EEG frequency signature of reduced slow-wave activity, obtained as a spectral interpretation of steering.

Neighborhood — ranked by edge-count

Methods (1)

method

Spectral Decoder
introduces
Method that maps latent concept steering interventions back to EEG amplitude spectrum to obtain physiologically interpretable frequency signatures.

Concepts (1)

concept

EEG Abnormality
associated_with
One of four clinical taxonomy dimensions used to benchmark SAE features

Events (1)

event

Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders (2026)
mentions
Preprint applying TopK SAEs to three EEG transformers to reveal sparse feature dictionaries, steering regimes, and spectral interpretation.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Spectral decoder reveals pathological slow-wave suppression as a frequency signature of concept steering interventions in EEG foundation models.finding0.794
Links latent space manipulation to known EEG neurophysiology
Spectral decoder maps concept interventions to pathological slow-wave suppression and alpha-band restoration.finding0.768
Physiological interpretability result linking latent steering to EEG frequency signatures.
Repetition Suppressionfinding0.723
Neural phenomenon reproduced by active inference model: reduced response to repeated stimuli.
Cancer Suppressionconcept0.705
Maintenance of tissue-level order; disruption of bioelectric networks can lead to tumorigenesis, which can be reversed by electrical normalization.
slow pace and concentrated mind in makingconcept0.700
The devotional atmosphere that provided the maker time and concentrated attention, enabling the step-by-step nature of unfolding.
Cancer Suppression via Bioelectric Network Regulationfinding0.697
The spectral decoder successfully translates latent SAE interventions into physiologically interpretable frequency signatures such as slow-wave suppression and α-band restoration.claim0.694
Key result linking abstract latent manipulations to known EEG neurophysiology
Suppression of cancer phenotypes despite strong oncogenic mutations via forced bioelectrical connections among cells, overriding single-cell goals with morphogenetic ones.finding0.694
Empirical demonstration that bioelectric network topology, not genetic state, determines whether cellular optimization occurs at single-cell (cancer) vs. organ level.