MétaCan
Menu
← Back to cohort
Record W6892916388 · doi:10.5281/zenodo.13342887

Cooperative Function of Two Active Ears via Interaural Coupling

2024· preprint· en· W6892916388 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typepreprint
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsWestern UniversityYork University
Fundersnot available
KeywordsEardrumCoupling (piping)Sensitivity (control systems)Ear canalBioacousticsInner earSound localization

Abstract

fetched live from OpenAlex

The left and right ears of some non-mammals can act as a “pressure-gradient receiver” to improve directional sensitivity by virtue of acoustic coupling of the tympanic membranes via the interaural canal (IAC). A seminal study by Roongthumskul et al. (2019) extended this to show that the two active inner ears of a gecko can also effectively synchronize (i.e., each adjusts their self-oscillation frequencies due to coupling). This result is significant because it suggests that the two ears can expend energy to influence one another, with myriad implications for auditory function (e.g., low sound level localization). A subsequent study examining Anolis lizards showed that spontaneous and evoked otoacoustic emissions (OAE) are readily measurable in the IAC using an orally placed probe (Bergevin et al., 2020). Further, acoustic modeling of the IAC using known morphology showed that the motion of one eardrum, presumably driven by the ipsilateral inner ear, was sufficient to drive the contralateral eardrum and thereby couple the two (inner) ears. We expand upon those studies by reporting simultaneous SOAE measurements made externally at the left and right meatuses from six anoles. Several general features were considered, including overlap of SOAE spectral magnitudes across ears and vector strength determined from the phase. Half the experiments showed clear magnitude overlap from both ears above 1.5 − 2 kHz but less of a match below. The other lizards exhibited SOAE activity that was not as well-matched between ears. Similar to that reported for geckos, vector strength was often observed to be elevated in regions of overlapping SOAE activity, including about the “valleys” between peaks. Further, vector strengths could show larger maximum values for anole compared to gecko. Individual SOAE peaks were also filtered to extract amplitude (AM) and frequency modulations (FM), from which we performed fluctuation correlation analyses. We found that ipsilateral pairs (i.e., peaks at different frequencies measured from one ear) could show weak AM correlations (usually for nearest neighbors), but no FM correlations were present. However, relatively much stronger AM and FM correlations could be observed for peaks at similar frequencies measured simultaneously across ears – even at the valleys between peaks. Further, correlation delays between ears were not constant (i.e., it did not appear that one ear was uniformly driving the other). Additionally, we examined the effect of external sound stimulation to determine a “trans-IAC” transfer function (i.e., from one probe sealed at the external meatus relative to the other). These exhibited attenuation across the spectrum and phase-gradient delays slightly longer than expected, given the probe separation. These measurements suggest additional delay contributions beyond airborne acoustic propagation (e.g., tympanic motions) and that an emission measured ipsilaterally may contain contributions from both ears. In summary, this study bolsters evidence that the two ears of a lizard may act cooperatively by actively synchronizing via the IAC.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.254
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicAmphibian and Reptile Biology→French-language works237,207→