Evidence map›Paper›PMID 38420996›Full record

ArticleeLife2024

Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling.

Tony Zhang, Matthew Rosenberg, Zeyu Jing, Pietro Perona, Markus Meister

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  10. The what, how, and why of naturalistic behavior.Current opinion in neurobiology · 2022
    Review
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

5 authors.

Tony ZhangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID https://orcid.org/0000-0002-5198-499X
Matthew RosenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Zeyu JingDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.
Pietro PeronaDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, United States.
Markus MeisterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID https://orcid.org/0000-0003-2136-6506

Funding

Neural Computation for Innate Behaviors in the Superior ColliculusR01NS111477 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MEISTER, MARKUS · 2019 to 2023
$1.9M
National Science Foundation 1564330NINDS NIH HHS R01 NS111477Simons Foundation 543015Simons Foundation 543025
6 · The paper itself

Abstract

An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose a neural algorithm that can solve all these problems and operates reliably in diverse and complex environments. At its core, the mechanism makes use of a behavioral module common to all motile animals, namely the ability to follow an odor to its source. We show how the brain can learn to generate internal "virtual odors" that guide the animal to any location of interest. This

Indexed as

AlgorithmsGoalsAnimalsHumansLearningOdorantscomputational biologynavigationneural circuitneurosciencenonerapid learningsystems biology

Identifiers

PMID38420996
PMCPMC10911395

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.