Evidence map›Paper›PMID 40654845›Full record

ArticlebioRxiv : the preprint server for biology2025

Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity.

Dhananjay Bhaskar, Yanlei Zhang, Jessica Moore, Feng Gao, Bastian Rieck, Guy Wolf, Firas Khasawneh, Elizabeth Munch, J Adam Noah, Helen Pushkarskaya and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Dhananjay BhaskarKavli Institute for Neuroscience, Yale School of Medicine.ORCID 0000-0001-8068-3101
Yanlei ZhangMila - Quebec AI Institute.ORCID 0000-0003-1139-0756
Jessica MooreDepartment of Cell Biology, Duke University.ORCID 0000-0002-7577-7127
Feng GaoFielding School of Public Health, UCLA.ORCID 0000-0002-1641-2101
Bastian RieckAIDOS Lab, University of Fribourg.ORCID 0000-0003-4335-0302
Guy WolfMila - Quebec AI Institute.
Firas KhasawnehDepartment of Computational Mathematics, Science and Engineering, Michigan State University.ORCID 0000-0001-7817-7445
Elizabeth MunchDepartment of Computational Mathematics, Science and Engineering, Michigan State University.ORCID 0000-0002-9459-9493
J Adam NoahDepartment of Psychiatry, Yale School of Medicine.ORCID 0000-0001-9773-2790
Helen PushkarskayaDepartment of Psychiatry, Yale School of Medicine.
Christopher PittengerDepartment of Psychiatry, Yale School of Medicine.ORCID 0000-0003-2117-9321
Valentina GrecoDepartment of Genetics, Yale School of Medicine.ORCID 0000-0002-6492-4603
Smita KrishnaswamyDepartment of Computer Science, Yale University.ORCID 0000-0001-5823-1985

Funding

Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold LearningR01GM130847 · NIGMS · YALE UNIVERSITY · PI KRISHNASWAMY, SMITA · 2019 to 2023
$2.0M
Finding emergent structure in multi-sample biological data with the dual geometry of cells and features R01GM135929 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BROWN, EDWARD · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM130847NIGMS NIH HHS R01 GM135929
6 · The paper itself

Abstract

Neural signals are high-dimensional, noisy, and dynamic, making it challenging to extract interpretable features linked to behavior or disease. We introduce

Identifiers

PMID40654845
PMCPMC12247765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.