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Record W4414020384 · doi:10.1111/psyp.70136

Ecological Resonance Is Reflected in Human Brain Activity

2025· article· en· W4414020384 on OpenAlexaff
Vicente Raja, Klaus Gramann

Bibliographic record

VenuePsychophysiology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsWestern University
FundersAgencia Estatal de InvestigaciónEuropean CommissionUniversidad de MurciaMinisterio de Ciencia, Innovación y UniversidadesUniversity of Cincinnati
KeywordsEmbodied cognitionPsychologyControl (management)CognitionConsciousnessCognitive psychologyCognitive scienceEcological validityObject (grammar)Functional magnetic resonance imagingEcological psychologyEcologyNeuroscienceArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

We designed an object interception task using virtual reality and mobile brain/body imaging to test two core hypotheses of ecological psychology and radical embodied cognitive (neuro)science: the ecological resonance hypothesis and the information-based control laws hypothesis. These two hypotheses define an alternative explanatory strategy that aims to understand the organization and control of behavior without appealing to internal models or representations of any kind. The ecological resonance hypothesis was evaluated in relation to the ecological variable known as tau (τ) or time-to-contact (TTC). Concurrently, the hypothesis of information-based control laws was investigated by examining the τ-coupling control law. The results of the study show ecological resonance to τ along with τ-coupling between stimulation, behavior, and neural activity, therefore offering support to both hypotheses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.364
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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