Evidence map›Paper›PMID 32959777›Full record

ArticleeLife2020

Tuning movement for sensing in an uncertain world.

Chen Chen, Todd D Murphey, Malcolm A MacIver

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Sound-seeking before and after hearing loss in mice.bioRxiv : the preprint server for biology · 2024
    Article
  7. Active Sampling in Primate Vocal Interactions.bioRxiv : the preprint server for biology · 2023
    Article
  8. Active smelling in the American cockroach.The Journal of experimental biology · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chen ChenCenter for Robotics and Biosystems, Northwestern University, Evanston, United States.ORCID 0000-0002-3579-0159
Todd D MurpheyCenter for Robotics and Biosystems, Northwestern University, Evanston, United States.ORCID 0000-0003-2262-8176
Malcolm A MacIverCenter for Robotics and Biosystems, Northwestern University, Evanston, United States.ORCID 0000-0002-3711-8235

Funding

National Science Foundation ECCS-1835389National Science Foundation ECCS-1837515National Science Foundation IIS-1427419
6 · The paper itself

Abstract

While animals track or search for targets, sensory organs make small unexplained movements on top of the primary task-related motions. While multiple theories for these movements exist-in that they support infotaxis, gain adaptation, spectral whitening, and high-pass filtering-predicted trajectories show poor fit to measured trajectories. We propose a new theory for these movements called energy-constrained proportional betting, where the probability of moving to a location is proportional to an expectation of how informative it will be balanced against the movement's predicted energetic cost. Trajectories generated in this way show good agreement with measured trajectories of fish tracking an object using electrosense, a mammal and an insect localizing an odor source, and a moth tracking a flower using vision. Our theory unifies the metabolic cost of motion with information theory. It predicts sense organ movements in animals and can prescribe sensor motion for robots to enhance performance.

Indexed as

Models, BiologicalAlgorithmsAnimalsBehavior, AnimalEnergy MetabolismFishesInsectaMothsMovementRoboticsSensationcomputational biologydecision makingexploration-exploitationinfotaxisneuroscienceoptimal foragingoptimal searchsearch algorithmsystems biology

Identifiers

PMID32959777
PMCPMC7508562

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.