Evidence map›Paper›PMID 24744740›Full record

ReviewFrontiers in psychology2014

Scene analysis in the natural environment.

Michael S Lewicki, Bruno A Olshausen, Annemarie Surlykke, Cynthia F Moss

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Characterizing long-range search behavior in Diptera using complex 3D virtual environments.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Statistics of natural reverberation enable perceptual separation of sound and space.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Article
  19. Fast sensory-motor reactions in echolocating bats to sudden changes during the final buzz and prey intercept.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Michael S LewickiDepartment of Electrical Engineering and Computer Science, Case Western Reserve University Cleveland, OH, USA.
Bruno A OlshausenHelen Wills Neuroscience Institute, School of Optometry, Redwood Center for Theoretical Neuroscience, University of California at Berkeley Berkeley, CA, USA.
Annemarie SurlykkeDepartment of Biology, University of Southern Denmark Odense, Denmark.
Cynthia F MossDepartment of Psychology and Institute for Systems Research, University of Maryland College Park, MD, USA.

Funding

SENSORIMOTOR INTEGRATION AND SPATIALLY-GUIDED BEHAVIORR01MH056366 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI MOSS, CYNTHIA F · 1997 to 2008
$1.8M
CRCNS_:Neural Population Coding of Dynamic Natural ScenesR01EY019965 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI GRAY, CHARLES M, OLSHAUSEN, BRUNO A. · 2009 to 2013
$1.7M
CRCNS: Innovative technologies inspired by biosonarR01EB004750 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI MOSS, CYNTHIA F · 2004 to 2007
$1.3M
NEI NIH HHS R01 EY019965NIBIB NIH HHS R01 EB004750NIMH NIH HHS R01 MH056366
6 · The paper itself

Abstract

The problem of scene analysis has been studied in a number of different fields over the past decades. These studies have led to important insights into problems of scene analysis, but not all of these insights are widely appreciated, and there remain critical shortcomings in current approaches that hinder further progress. Here we take the view that scene analysis is a universal problem solved by all animals, and that we can gain new insight by studying the problems that animals face in complex natural environments. In particular, the jumping spider, songbird, echolocating bat, and electric fish, all exhibit behaviors that require robust solutions to scene analysis problems encountered in the natural environment. By examining the behaviors of these seemingly disparate animals, we emerge with a framework for studying scene analysis comprising four essential properties: (1) the ability to solve ill-posed problems, (2) the ability to integrate and store information across time and modality, (3) efficient recovery and representation of 3D scene structure, and (4) the use of optimal motor actions for acquiring information to progress toward behavioral goals.

Indexed as

active perceptionauditory streamingecholocationelectroreceptionneuroethologyscene analysistop-down processesvision

Identifiers

PMID24744740
PMCPMC3978336

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.