Fluctuating landscapes and heavy tails in animal behavior.

Antonio Carlos Costa, Gautam Sridhar, Claire Wyart, Massimo Vergassola

Abstract readPreprint

In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

Updated by

5 · Who and what money

Authors and funding

4 authors.

Antonio Carlos CostaLaboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, F-75005 Paris, France.

Gautam SridharSorbonne University, Paris Brain Institute (ICM), Inserm U1127, CNRS UMR 7225, Paris, France.

Claire WyartSorbonne University, Paris Brain Institute (ICM), Inserm U1127, CNRS UMR 7225, Paris, France.

Massimo VergassolaLaboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, F-75005 Paris, France.

Funding

Odor trail tracking: a new paradigm to unveil algorithms and neural circuits underlying active sensation and continuous decision makingRF1NS128865 · NINDS · HARVARD UNIVERSITY · PI DULAC, CATHERINE, MURTHY, VENKATESH N · 2022 to 2022

$2.7M

NINDS NIH HHS RF1 NS128865

6 · The paper itself

Abstract

Animal behavior is shaped by a myriad of mechanisms acting on a wide range of scales, which hampers quantitative reasoning and the identification of general principles. Here, we combine data analysis and theory to investigate the relationship between behavioral plasticity and heavy-tailed statistics often observed in animal behavior. Specifically, we first leverage high-resolution recordings of

Identifiers

PMID36748006

PMCPMC9900967

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.