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animal prattle

@animal-prattle

The latest n' greatest research about all things animal communication πŸ”πŸ‘πŸπŸΏπŸ³πŸ¦€πŸ¦šπŸ•·πŸπŸ—£πŸ¦ @ me your favorite papers, new results, etc πŸ’¬

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Latest posts by animal prattle @animal-prattle

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Cornell Lab of Ornithology (@cornellbirds.bsky.social) The Cornell Lab of Ornithology is a world leader in the study, appreciation, and conservation of birds and biodiversity. birds.cornell.edu/home/ (White-breasted Nuthatch by Hannah Criswell / Macaulay...

Data collection was delayed when the pandemic started...As I couldn't record birds on the mainland for comparison, I paused the project...

Later we realized M. candei recordings were available from the cornellbirds.bsky.social Macaulay library! Very thankful for the collection!!

05.03.2026 23:29 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
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Vocal and display differences in an island form of a lekking species with an acrobatic dance routine Island environments drive distinctive morphological and life history traits known as the β€˜island syndrome’. Previous studies pointed to lower sexual s…

Our paper looking at vocal & display differences of Escudo manakins is online.

Vocalizations show that island manakins are derived from a hybrid population of golden- x white-collared manakins.

Interestingly, island living doesn't indicate relaxed sexual selection.

Fun project & amazing team 🏝️

05.03.2026 21:38 πŸ‘ 6 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0
Postdoc position -- Social Learning and Cultural Evolution Postdoc position -- Social Learning and Cultural Evolution posted on March 2, 2026 We are currently seeking a highly motivated individual...

πŸš€ Postdoc Alert! Are you passionate about social learning & cultural evolution? @dominikdeffner.bsky.social & I have a 3-year position with freedom to develop your research and work on cutting-edge multiplayer and immersive experiments. Apply by March 30! hmc-lab.com/SocialLearni... Pls share πŸ™

02.03.2026 10:45 πŸ‘ 59 πŸ” 62 πŸ’¬ 2 πŸ“Œ 3

Interesting use of AI methods of self-supervised learning, to analyze canary song.

Authors demo on seasonal changes

Just published in Patterns:
doi.org/10.1016/j.pa...

Code: github.com/georgevenven...

Data: datadryad.org/dataset/doi:...

#bioacoustics
#prattle πŸ’¬

05.03.2026 18:23 πŸ‘ 5 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
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Less is more: Probabilistic reduction is best explained by small-scale predictability measures The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship between language model probabilities and ...

We wrote a thing -- showing you don't need LLMs to model language production dynamics like the tendency for speakers to reduce predictable words. All you have to do is better model how speech rate varies depending on where a word is and how long the utterance is. arxiv.org/abs/2512.23659

30.12.2025 13:48 πŸ‘ 89 πŸ” 22 πŸ’¬ 2 πŸ“Œ 3

πŸ‘

25.02.2026 20:21 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Parrots and humans share a brain mechanism for speech Brain activity in vocalizing budgerigar parrots showed a pattern that harkened to those found in the brains of people.

When it comes to speech, parrots have the gift of gab. And the way the brains of small parrots known as budgerigars bestow this gift is remarkably similar to human speech, researchers report.
https://www.sciencenews.org/article/parrots-humans-brain-speech-birds

21.02.2026 21:00 πŸ‘ 17 πŸ” 7 πŸ’¬ 1 πŸ“Œ 1
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Reconstructing voice identity from noninvasive auditory cortex recordings A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity information.

Thrilled: my PhD work β€œReconstructing voice identity from noninvasive auditory cortex recordings” is now in @elife.bsky.social DNNs model human temporal voice areas & can reconstruct speaker identity from fMRI. Ty to supervisors, co authors, CERIMED & participants elifesciences.org/articles/98047

21.02.2026 21:37 πŸ‘ 8 πŸ” 4 πŸ’¬ 1 πŸ“Œ 0

tired: dog whistles
wired: horse whistles

(h/t @arnavraha.bsky.social)

#prattle πŸ’¬
#bioacoustics

24.02.2026 17:51 πŸ‘ 7 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
The Animal Behavior Society The Animal Behavior Society

Apply for the Career Diversity Travel award to attend the Animal Behavior Society Conference in Cincinnati, July 14-18, 2026. Deadline: March 23, 2026. More info: https://www.animalbehaviorsociety.org/web/awards-career-diversity.php #conference

23.02.2026 21:54 πŸ‘ 4 πŸ” 4 πŸ’¬ 0 πŸ“Œ 0
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We are excited to announce that registration is open for the 2026 Neural Mechanisms of Acoustic Communication Gordon Research Conference. The preliminary program is now live: www.grc.org/neural-mecha...

We invite everyone to apply! See you @ Sunday River, Maine, May 31-June 5, 2026.

27.01.2026 17:45 πŸ‘ 21 πŸ” 15 πŸ’¬ 0 πŸ“Œ 2
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JASA EXPRESS LETTERS

Clear speech led to shorter reaction timesβ€”but not improved intelligibilityβ€”in Mandarin fricative perception, highlighting processing speed as an important yet underrecognized dimension of clear-speech's benefit.
https://doi.org/10.1121/10.0042407

21.02.2026 17:05 πŸ‘ 2 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
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ASA PRESS

Understanding Acoustics: An Experimentalist’s View of Sound and Vibration is an open access book that provides graduate-level treatment of acoustics and vibration suitable for use in courses, for self-study, and as a reference
https://link.springer.com/book/10.1007/978-3-030-44787-8

22.02.2026 16:00 πŸ‘ 10 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0

On my way to #OSM26! ✈️🌊

Looking forward to the acoustics sessions, and to discovering other talks along the way.

You’ll find me at the Distributed Acoustic Sensing & poster session Thursday PM, sharing preliminary results from my research using DAS to monitor endangered whales πŸ‹. Come say hi! πŸ‘‹

21.02.2026 02:57 πŸ‘ 0 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

check out this fun video about my recent bat project!

07.08.2025 14:08 πŸ‘ 18 πŸ” 8 πŸ’¬ 0 πŸ“Œ 0
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New preprint on vocal communication in zebra finches! 🐦

Earth Species Project and McGill University analyzed over 1.5 million female zebra finch calls to understand how female zebra finches modulate their vocalizations during natural exchanges.

16.02.2026 16:04 πŸ‘ 30 πŸ” 9 πŸ’¬ 1 πŸ“Œ 1
Effects of habitat structure and individual variation in a simulated acoustic communication network Publication date: March 2026 Source: Animal Behaviour, Volume 233 Author(s): Michael S. Reichert

Effects of habitat structure and individual variation in a simulated acoustic communication network AnimBeh

21.02.2026 03:30 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

🀯🀯🀯🀯🀯

19.02.2026 23:27 πŸ‘ 4 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

WILDLABS Awards 2026
"We are awarding $10,000 and $50,000 grants to up to 15 projects, each receiving up to one year of funding to advance their #conservation #technology work."

https://wildlabs.net/funding-opportunity/wildlabs-awards-2026-express-your-interest-now

Deadline 18 March 2026

19.02.2026 11:07 πŸ‘ 0 πŸ” 5 πŸ’¬ 0 πŸ“Œ 0
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Caterpillars hear through tiny body hairs, which could inspire improved microphones No ears, no problem. The tobacco hornworm caterpillar, a common garden pest, can actually detect airborne sound via microscopic hairs on its body, according to a team of faculty and graduate students at Binghamton University. The research could have implications for improving microphone technology.

No ears, no problem. The tobacco hornworm caterpillar can detect airborne sound via microscopic hairs on its body, according to a team at Binghamton University: https://phys.org/news/2026-01-caterpillars-tiny-body-hairs-microphones.html

Research presented at the 6th Joint Meeting ASA and ASJ

19.02.2026 18:00 πŸ‘ 1 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
Image of the title and abstract of our new paper, with a cartoon Ovenbird superimposed. The title of the paper is: Hushed disputes between noisy neighbours: ovenbirds vary song amplitude during conflicts with territorial rivals.

Image of the title and abstract of our new paper, with a cartoon Ovenbird superimposed. The title of the paper is: Hushed disputes between noisy neighbours: ovenbirds vary song amplitude during conflicts with territorial rivals.

Our new paper is out today in Animal Behaviour: "Hushed disputes between noisy neighbours: Ovenbirds vary song amplitude during conflicts with territorial rivals." By Connor Acorn, Jenn Foote, & me. @animbehsociety.bsky.social

How loud is an Ovenbird's song? It depends...
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17.02.2026 14:12 πŸ‘ 39 πŸ” 11 πŸ’¬ 1 πŸ“Œ 1

I'm interested in particular in the temporal structure of acoustic information (e.g. vocalizations over time, etc), but I'm very keen in learning what's been developed in the more general space of these long recordings

17.02.2026 10:24 πŸ‘ 2 πŸ” 1 πŸ’¬ 2 πŸ“Œ 0

recorders are sometimes attached to non-human animals (or left in the environment). This generates day- even week-long recordings. I want to learn more about the methods used to analyze such data. Pointers? @animal-prattle.bsky.social @mpi-animalbehav.bsky.social @manymindspod.bsky.social

17.02.2026 10:22 πŸ‘ 1 πŸ” 1 πŸ’¬ 3 πŸ“Œ 0

C'mon people, let's show some love for a first paper

bro I didn't even know Eastern Bristlebirds existed 5 minutes ago, awesome name by the way and now I'm learning about their song structure and dialects?

#prattle πŸ’¬
#bioacoustics

14.02.2026 02:37 πŸ‘ 8 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
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Complex Social Vocalizations are Integrated into the Bat Wingbeat Cycle during Flight Acoustic communication plays a central role in animal social behavior and exhibits remarkable complexity in various taxa. In bats, the emission of echolocation calls is tightly coupled to wingbeat and respiratory rhythms. However, little is known about how complex social vocalizations are coordinated with the mechanics for powered flight. We investigated how complex social calls are integrated into flight of wild Nathusius' pipistrelles (Pipistrellus nathusii). Using synchronized audio and video recordings, we quantified wingbeat rhythms during free flight and incorporated these data into a kinematic inference model to reconstruct the timing of social calls relative to the wingbeat. We found that echolocation call emission is coupled to the upstroke phase of the wingbeat. Moreover, social calls span three wingbeat cycles during flight and are embedded within a continuous sequence of echolocation calls. While motif durations scale with syllable number, motif onsets are phase-locked to narrow, preferential phases of the wingbeat cycle. Our findings provide evidence that complex social calls in bats are integrated into the wingbeat during flight, demonstrating that vocal-locomotor coupling extends beyond echolocation to shape the structure of social communication. By mitigating the high energetic costs of vocalizing, biomechanical integration might have facilitated the evolution of complex vocal communication in bats.

Complex Social Vocalizations are Integrated into the Bat Wingbeat Cycle during Flight bioRxivpreprint

14.02.2026 01:40 πŸ‘ 7 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0

So psyched for this year's Neural Mechanisms of Acoustic Communication (NMAC) GRC! Come join us in May, and please RT!

30.01.2026 21:46 πŸ‘ 8 πŸ” 6 πŸ’¬ 0 πŸ“Œ 0
Organization, Neuronal Composition, and Dynamics of Neuronal Ensembles in the Songbird Auditory Forebrain Auditory learning is a key component of vocal learning and communication. Neurons involved in auditory learning are typically examined as single encoders, but there is increasing evidence that the coincident activity of groups of neurons, or ensembles, is important for the processing and transmission of sensory information. In songbirds, a forebrain region analogous to mammalian secondary auditory cortex, the caudomedial nidopallium (NCM), is crucial for representing and learning auditory signals. In the awake state, NCM neurons exhibit stimulus-specific adaptation in response to repeated presentation of song stimuli, considered a form of auditory working memory. Yet, how complex stimuli like song are encoded by networks of excitatory and inhibitory neurons is essentially unknown. Using in-vivo single-unit electrophysiology, we systematically unveiled neuronal ensembles that operate at high temporal precision (< 10 ms) across the NCM of awake zebra finches (Taeniopygia guttata). Our data show that multiple ensembles are concurrently activated by song with high temporal precision, and that their neuronal composition is heterogeneous, topographically proximate, and biased towards excitatory members. NCM ensembles adapt to song playback and, notably, become more stimulus selective over tens of minutes, accompanied by fast remodeling (membership gain and/or loss) during adaptation. Altogether, our results suggest that song representations in the forebrain can be conveyed by multiple, dynamic network ensembles in parallel. These findings advance our knowledge of the composition, dynamics, and neuronal network reorganization of ensembles as complex sensory stimuli become increasingly familiar. ### Competing Interest Statement The authors have declared no competing interest. National Institute of Neurological Disorders and Stroke, https://ror.org/01s5ya894, R01NS082179

Auditory neurons form ensembles in the songbird NCM, showing synchronized activity within ~6ms! And the ensemble show stimulus-specific adaptation. Remarkable dissertation work from Felipe Cini, who has just started his postdoc with @jess-cardin.bsky.social .

www.biorxiv.org/content/10.6...

22.01.2026 15:47 πŸ‘ 16 πŸ” 6 πŸ’¬ 0 πŸ“Œ 0
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Most of us are familiar with the nightingale's song, but did you know there's more to it than just a melody?

Read more: doi.org/10.1016/j.cu...

@danielavallentin.bsky.social @tpvogels.bsky.social @mpiforbi.bsky.social

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21.01.2026 11:08 πŸ‘ 13 πŸ” 7 πŸ’¬ 0 πŸ“Œ 0

Congrats @danielavallentin.bsky.social happy to see this out in @currentbiology.bsky.social

12.01.2026 22:08 πŸ‘ 28 πŸ” 13 πŸ’¬ 0 πŸ“Œ 0
A) Dendrogram of the development dataset showing the clustering structure and optimal cut points, and spectrograms of representative calls extracted from cluster 0 and cluster 1. Within the main
clusters, we observed further branching; B) UMAP projection divided into 𝐾 = 2 clusters using HAC.

A) Dendrogram of the development dataset showing the clustering structure and optimal cut points, and spectrograms of representative calls extracted from cluster 0 and cluster 1. Within the main clusters, we observed further branching; B) UMAP projection divided into 𝐾 = 2 clusters using HAC.

Our new pre-print shows how unsupervised clustering methods can identify biologically meaningful differences in early vocal production, with no human feedback. @antorrisi.bsky.social
has led this interdisciplinary collaboration based on computational methods + #chicks 🐣 arxiv.org/abs/2601.12203

24.01.2026 13:15 πŸ‘ 20 πŸ” 8 πŸ’¬ 1 πŸ“Œ 0