Evidence map›Paper›PMID 40205215›Full record

ArticleNature2025

Foundation model of neural activity predicts response to new stimulus types.

Eric Y Wang, Paul G Fahey, Zhuokun Ding, Stelios Papadopoulos, Kayla Ponder, Marissa A Weis, Andersen Chang, Taliah Muhammad, Saumil Patel, Zhiwei Ding and 13 more

Erratum issuedAbstract 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. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  6. Article
  7. What can a neuron compute.bioRxiv : the preprint server for biology · 2026
    Article
  8. Inhibition benefits neural system identification.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Binocular Circuitry as a Model for Understanding Experience-Dependent Circuit Development across the Mammalian Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Eric Y WangCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-1084-7059
Paul G FaheyCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Zhuokun DingCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-8610-5182
Stelios PapadopoulosCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Kayla PonderCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Marissa A WeisInstitute of Computer Science and Campus Institute Data Science, University of Göttingen, Göttingen, Germany.ORCID 0009-0001-0993-7145
Andersen ChangCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Taliah MuhammadCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Saumil PatelCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Zhiwei DingCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Dat TranCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Jiakun FuCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Casey M Schneider-MizellAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0001-9477-3853
MICrONS Consortium
R Clay ReidAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-8697-6797
Forrest CollmanAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-0280-7022
Nuno Maçarico da CostaAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0003-2001-4568
Katrin FrankeCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Alexander S EckerInstitute of Computer Science and Campus Institute Data Science, University of Göttingen, Göttingen, Germany.ORCID 0000-0003-2392-5105
Jacob ReimerCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-4364-8846
Xaq PitkowCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-6376-329X
Fabian H SinzCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.
Andreas S ToliasCenter for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA. tolias@stanford.edu.ORCID 0000-0002-4305-6376

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI TOLIAS, ANDREAS · 2017 to 2021
$64.7M
VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
Probabilistic coding in cortical populationsR01EY026927 · NEI · BAYLOR COLLEGE OF MEDICINE · PI MA, WEI JI, TOLIAS, ANDREAS · 2017 to 2021
$1.9M
Anatomical connectivity and activity in primary visual cortex of mouseRF1MH130416 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI PITKOW, ZACHARY SAMUEL, REIMER, JACOB · 2022 to 2022
$1.3M
NEI NIH HHS P30 EY002520NEI NIH HHS R01 EY026927NIMH NIH HHS RF1 MH130416NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

The complexity of neural circuits makes it challenging to decipher the brain's algorithms of intelligence. Recent breakthroughs in deep learning have produced models that accurately simulate brain activity, enhancing our understanding of the brain's computational objectives and neural coding. However, it is difficult for such models to generalize beyond their training distribution, limiting their utility. The emergence of foundation models

Indexed as

Models, NeurologicalNeuronsVisual CortexAnimalsConnectomeDeep LearningDendritesFemaleMaleMicePhotic Stimulation

Identifiers

PMID40205215
PMCPMC11981942

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.