Evidence map›Paper›PMID 35785023›Full record

ArticleCurrent directions in psychological science2022

The Structure of Systematicity in the Brain.

Randall C O'Reilly, Charan Ranganath, Jacob L Russin

Open access · greenAbstract read
In one paragraph

Article in Current directions in psychological science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Object-based encoding constrains storage in visual working memory.Journal of experimental psychology. General · 2024
    Article
  6. Narrative Memories Woven by an Intertextual Hippocampus.Journal of comparative literature & aesthetics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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 at 1 institution in 1 country.

Randall C O'ReillyDepartments of Psychology and Computer Science, Center for Neuroscience, University of California, Davis, 1544 Newton Ct, Davis, CA 95618.
Charan RanganathDepartments of Psychology and Computer Science, Center for Neuroscience, University of California, Davis, 1544 Newton Ct, Davis, CA 95618.
Jacob L RussinDepartments of Psychology and Computer Science, Center for Neuroscience, University of California, Davis, 1544 Newton Ct, Davis, CA 95618.
University of California, Davis · US

Funding

Proj 5: Early Development (224-250)P50MH079485 · NIMH · UNIVERSITY OF COLORADO · PI O'REILLY, RANDALL CHARLES · 2008 to 2012
$8.7M
Learning, Memory, and Plasticity (LaMP) Training ProgramT32MH112507 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Karen Zito · 2017 to 2026
$2.4M
NIMH NIH HHS P50 MH079485NIMH NIH HHS T32 MH112507
6 · The paper itself

Abstract

A hallmark of human intelligence is the ability to adapt to new situations, by applying learned rules to new content (systematicity) and thereby enabling an open-ended number of inferences and actions (generativity). Here, we propose that the human brain accomplishes these feats through pathways in the parietal cortex that encode the abstract structure of space, events, and tasks, and pathways in the temporal cortex that encode information about specific people, places, and things (content). Recent neural network models show how the separation of structure and content might emerge through a combination of architectural biases and learning, and these networks show dramatic improvements in the ability to capture systematic, generative behavior. We close by considering how the hippocampal formation may form integrative memories that enable rapid learning of new structure and content representations.

Identifiers

PMID35785023
PMCPMC9246245
OpenAlexW3192571202

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.