Cadences of the Collective: Conspecific Stimulation Patterns Interact with Endogenous Rhythms to Cue Socially Mediated Response Shifts
Bibliographic record
Abstract
Abstract Many animals form behavioral collectives, and optimal interaction patterns often differ across social contexts. Sensory scenes generated by many interacting conspecifics are complex. Thus, maintaining socially-calibrated interaction patterns necessitates that individuals distill key features from conspecific scenes to guide continued adjustments to social fluctuations. Túngara frogs produce mating calls in choruses varying in size, and interaction patterns differ across social environments; rivals alternate their calls in smaller choruses, but increasingly overlap one another’s calls in a stereotyped fashion as choruses increase in size. We used automated playback to investigate the cues guiding this socially-mediated shift in response modes. We played conspecific stimulus calls to males at various delays relative to their own calls, preceded by various acoustic motifs mimicking conspecific interaction patterns observed across varied chorusing environments. Males almost never overlapped isolated stimulus calls at any delays. However, their probabilities of overlapping stimulus calls increased markedly when stimulus calls were preceded by motifs exhibiting intense conspecific stimulation patterns characteristic of larger choruses, especially when these stimulus calls were also presented at later delays. Thus, a multifaceted cue to social context primes varied interaction patterns on a call-by-call basis: that, in larger choruses, males experience intense conspecific stimulation during their inter-call periods, and that this stimulation extends throughout the latter reaches of their call cycles. Our results highlight that inactive phases within behavioral rhythms provide critical assessment windows for fine-tuning upcoming responses, and that behavioral rhythms act as crucial temporal filters for mapping conspecific stimulation patterns to behavioral outputs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".