Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.

Christopher Versteeg, Andrew R Sedler, Jonathan D McCart, Chethan Pandarinath

Abstract readPreprint

In one paragraph

Article in ArXiv, 2023. 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

4 authors.

Christopher VersteegWallace H. Coulter Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta, GA, USA.

Andrew R SedlerWallace H. Coulter Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta, GA, USA.

Jonathan D McCartWallace H. Coulter Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta, GA, USA.

Chethan PandarinathWallace H. Coulter Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta, GA, USA.

Funding

Fusing motor neuroscience and artificial intelligence to create next-generation neural prostheses.DP2NS127291 · NINDS · EMORY UNIVERSITY · PI PANDARINATH, CHETHAN · 2021 to 2024

$2.4M

Robust modeling of within- and across-area population dynamics using recurrent neural networks - Admin SupplRF1DA055667 · NIDA · EMORY UNIVERSITY · PI MILLER, LEE, PANDARINATH, CHETHAN · 2021 to 2023

$1.6M

Developing novel neural network tools for accurate and interpretable dynamical modeling of neural circuitsF32MH132175 · NIMH · EMORY UNIVERSITY · PI VERSTEEG, CHRISTOPHER · 2023 to 2025

$245k

NIDA NIH HHS RF1 DA055667NIMH NIH HHS F32 MH132175NINDS NIH HHS DP2 NS127291

6 · The paper itself

Abstract

The advent of large-scale neural recordings has enabled new approaches that aim to discover the computational mechanisms of neural circuits by understanding the rules that govern how their state evolves over time. While these

Identifiers

PMID37744459

PMCPMC10516113

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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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.