Evidence map›Paper›PMID 41219202›Full record

ArticleNature communications2025

A software platform for real-time and adaptive neuroscience experiments.

Anne Draelos, Matthew D Loring, Maxim Nikitchenko, Chaichontat Sriworarat, Pranjal Gupta, Daniel Y Sprague, Eftychios Pnevmatikakis, Andrea Giovannucci, Tyler Benster, Karl Deisseroth and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Anne DraelosDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA. adraelos@umich.edu.
Matthew D LoringDepartment of Neurobiology, Duke University School of Medicine, Durham, NC, USA.
Maxim NikitchenkoDepartment of Neurobiology, Duke University School of Medicine, Durham, NC, USA.
Chaichontat SriworaratDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Pranjal GuptaCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Daniel Y SpragueDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Eftychios PnevmatikakisCenter for Computational Mathematics, Flatiron Institute, New York, NY, USA.
Andrea GiovannucciJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill / North Carolina State University, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-7850-444X
Tyler BensterDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9440-3967
John M PearsonDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-9876-7837
Eva A NaumannDepartment of Neurobiology, Duke University School of Medicine, Durham, NC, USA. eva.naumann@duke.edu.ORCID http://orcid.org/0000-0002-7215-4717

Funding

Functional connectivity of a brain-scale neural circuit for motion perceptionRF1NS128895 · NINDS · DUKE UNIVERSITY · PI NAUMANN, EVA AIMABLE · 2022 to 2022
$1.9M
Development of brain-scale neural circuits underlying vertebrate visuomotor transformationsR01EY033845 · NEI · DUKE UNIVERSITY · PI Eva Aimable Naumann · 2022 to 2026
$1.4M
Real-time mapping and adaptive testing for neural population hypothesesRF1DA056376 · NIDA · DUKE UNIVERSITY · PI PEARSON, JOHN · 2022 to 2023
$1.4M
Functional connectivity of a brain-scale neural circuit for motion perceptionR01NS128895 · NINDS · DUKE UNIVERSITY · PI Eva Aimable Naumann · 2025 to 2026
$1.1M
Real-time, all-optical interrogation of neural microcircuitry in the pretectumR34NS116738 · NINDS · DUKE UNIVERSITY · PI NAUMANN, EVA AIMABLE, PEARSON, JOHN · 2020 to 2020
$714k
NEI NIH HHS R01 EY033845NIDA NIH HHS RF1 DA056376NINDS NIH HHS R01 NS128895NINDS NIH HHS R34 NS116738NINDS NIH HHS RF1 NS128895U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) R01EY033845U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1RF1-NS128895U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R34-EB026951-01A1U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) RF1DA056376
6 · The paper itself

Abstract

Current neuroscience research is often limited to testing predetermined hypotheses and post hoc analysis of already collected data. Adaptive experimental designs, in which modeling drives ongoing data collection and selects experimental manipulations, offer a promising alternative. However, such adaptive paradigms require tight integration between software and hardware under real-time constraints. We introduce improv, a software platform for flexible integration of modeling, data collection, analysis pipelines, and live experimental control. We demonstrate both in silico and in vivo how improv enables efficient experimental designs for discovery and validation across various model organisms and data types. We used improv to orchestrate real-time behavioral analyses, rapid functional typing of neural responses via calcium imaging, optimal visual stimulus selection, and model-driven optogenetic photostimulation of visually responsive neurons in the zebrafish brain. Together, these results demonstrate the power of improv to integrate modeling with data collection and experimental control to achieve next-generation adaptive experiments.

Indexed as

NeurosciencesSoftwareAnimalsBrainComputer SimulationNeuronsOptogeneticsPhotic StimulationZebrafish

Identifiers

PMID41219202
PMCPMC12606217

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.