Evidence map›Paper›PMID 40061118›Full record

ArticleArXiv2025

Modeling Neural Activity with Conditionally Linear Dynamical Systems.

Victor Geadah, Amin Nejatbakhsh, David Lipshutz, Jonathan W Pillow, Alex H Williams

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

5 authors.

Victor GeadahProgram in Applied and Computational Mathematics, Princeton University, Princeton, NJ.
Amin NejatbakhshCenter for Computational Neuroscience, Flatiron Institute, New York City, NY.
David LipshutzCenter for Computational Neuroscience, Flatiron Institute, New York City, NY.
Jonathan W PillowProgram in Applied and Computational Mathematics, Princeton University, Princeton, NJ.
Alex H WilliamsCenter for Computational Neuroscience, Flatiron Institute, New York City, NY.

Funding

Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI BRODY, CARLOS D · 2017 to 2021
$15.3M
Mechanisms of persistent neural activityR01EY033064 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI Alexander C Huk, Jonathan William Pillow · 2022 to 2026
$2.6M
Unified, Scalable, and Reproducible Neurostatistical SoftwareRF1MH133778 · NIMH · NEW YORK UNIVERSITY · PI LINDERMAN, SCOTT WARREN, WILLIAMS, ALEXANDER HENRY · 2023 to 2023
$2.2M
Adaptive statistical algorithms for learning and control of neural dynamicsRF1DA056404 · NIDA · PRINCETON UNIVERSITY · PI PARK, IL MEMMING, PILLOW, JONATHAN WILLIAM · 2022 to 2022
$969k
NEI NIH HHS R01 EY033064NIDA NIH HHS RF1 DA056404NIMH NIH HHS RF1 MH133778NINDS NIH HHS U19 NS104648
6 · The paper itself

Abstract

Neural population activity exhibits complex, non-linear dynamics, varying in time, over trials, and across experimental conditions. Here, we develop

Identifiers

PMID40061118
PMCPMC11888554

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.