Evidence map›Paper›PMID 33838010›Full record

ReviewTopics in cognitive science2021

The Hierarchical Evolution in Human Vision Modeling.

Dana H Ballard, Ruohan Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Topics in cognitive science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Generative Models for Active Vision.Frontiers in neurorobotics · 2021
    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

2 authors.

Dana H BallardDepartment of Computer Science, The University of Texas at Austin.
Ruohan ZhangDepartment of Computer Science, The University of Texas at Austin.

Funding

VISUAL SENSITIVITY REGULATION &COLOR CODINGR01EY005729 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI HAYHOE, MARY M · 1985 to 2023
$7.0M
A Resource for the Study of Neural Models of BehaviorR01RR009283 · NCRR · UNIVERSITY OF TEXAS AT AUSTIN · PI BALLARD, DANA H. · 2002 to 2006
$3.1M
VIRTUAL FORCE STIMULATION: MOTOR CONTROLP41RR009283 · NCRR · UNIVERSITY OF ROCHESTER · PI BALLARD, DANA H. · 1994 to 2001
$1.6M
NCRR NIH HHS P41 RR009283NCRR NIH HHS R01 RR009283NEI NIH HHS R01 EY005729NIH HHS R01 RR09283
6 · The paper itself

Abstract

Computational models of primate vision took a significant advance with David Marr's tripartite separation of the vision enterprise into the problem formulation, algorithm, and neural implementation; however, many subsequent parallel developments in robotics and modeling greatly refined the algorithm descriptions into very distinct levels that complement each other. This review traces the time course of these developments and shows how the current perspective evolved to have its alternative internal hierarchical organization.

Indexed as

AlgorithmsComputer SimulationVision, OcularAnimalsHumansActive visionBayes hierarchiesHuman gaze behaviorsMarr's paradigmReinforcement learningVisual routines

Identifiers

PMID33838010
PMCPMC9462461

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.