Evidence map›Paper›PMID 31600513›Full record

ReviewNeuron2019

The Life of Behavior.

Alex Gomez-Marin, Asif A Ghazanfar

Abstract readReview
In one paragraph

Review in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. A neural manifold view of the brain.Nature neuroscience · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. An Active-Inference Approach to Second-Person Neuroscience.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Review
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

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

2 authors.

Alex Gomez-MarinBehavior of Organisms Laboratory, Instituto de Neurociencias CSIC-UMH, 03550 Alicante, Spain. Electronic address: agomezmarin@gmail.com.
Asif A GhazanfarPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA; Departments of Psychology and Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. Electronic address: asifg@princeton.edu.

Funding

The social neurobiology of vocal production and perceptionR01NS054898 · NINDS · PRINCETON UNIVERSITY · PI GHAZANFAR, ASIF · 2007 to 2022
$5.3M
NINDS NIH HHS R01 NS054898
6 · The paper itself

Abstract

Neuroscience needs behavior. However, it is daunting to render the behavior of organisms intelligible without suppressing most, if not all, references to life. When animals are treated as passive stimulus-response, disembodied and identical machines, the life of behavior perishes. Here, we distill three biological principles (materiality, agency, and historicity), spell out their consequences for the study of animal behavior, and illustrate them with various examples from the literature. We propose to put behavior back into context, with the brain in a species-typical body and with the animal's body situated in the world; stamp Newtonian time with nested ontogenetic and phylogenetic processes that give rise to individuals with their own histories; and supplement linear cause-and-effect chains and information processing with circular loops of purpose and meaning. We believe that conceiving behavior in these ways is imperative for neuroscience.

Indexed as

Behavior, AnimalBrainAnimalsCognitionLife

Identifiers

PMID31600513
PMCPMC6873815

What OpenQuestion holds

Textmetadata
LicenceTDM
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.