Evidence map›Paper›PMID 40533561›Full record

ArticleNature2025

Unsupervised pretraining in biological neural networks.

Lin Zhong, Scott Baptista, Rachel Gattoni, Jon Arnold, Daniel Flickinger, Carsen Stringer, Marius Pachitariu

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Neural Correlates of Category Learning in Monkey Inferior Temporal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

7 authors.

Lin ZhongHHMI Janelia Research Campus, Ashburn, VA, USA. zhongl@janelia.hhmi.org.ORCID 0000-0002-9740-628X
Scott BaptistaHHMI Janelia Research Campus, Ashburn, VA, USA.
Rachel GattoniHHMI Janelia Research Campus, Ashburn, VA, USA.
Jon ArnoldHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID 0009-0005-9782-6398
Daniel FlickingerHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID 0000-0002-8361-3122
Carsen Stringer *HHMI Janelia Research Campus, Ashburn, VA, USA.ORCID 0000-0002-9229-4100
Marius Pachitariu *HHMI Janelia Research Campus, Ashburn, VA, USA. pachitarium@janelia.hhmi.org.ORCID 0000-0001-7106-814X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Representation learning in neural networks may be implemented with supervised or unsupervised algorithms, distinguished by the availability of instruction. In the sensory cortex, perceptual learning drives neural plasticity

Indexed as

LearningNerve NetAnimalsFemaleMaleMiceMice, Inbred C57BLNeuronal PlasticityNeuronsPrimary Visual CortexRewardVisual Cortex

Identifiers

PMID40533561
PMCPMC12367527

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.