ArticleJournal of the Royal Society, Interface2020
Unsupervised learning of control signals and their encodings in
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- A data-driven biology-based network model reproduces C. elegans premotor neural dynamics.PLoS computational biology · 2025Article
- Bridging the gap between the connectome and whole-brain activity inbioRxiv : the preprint server for biology · 2025Article
- Review
- Light evokes stereotyped global brain dynamics in Caenorhabditis elegans.Current biology : CB · 2024Article
- Large-scale neural recordings call for new insights to link brain and behavior.Nature neuroscience · 2022Review
- Article
- Measuring and modeling whole-brain neural dynamics in Caenorhabditis elegans.Current opinion in neurobiology · 2020Review
- Nonlinear Control in the NematodeFrontiers in computational neuroscience · 2020Article
- Nonlinear control of networked dynamical systems.IEEE transactions on network science and engineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major goal of computational neuroscience is to understand the relationship between synapse-level structure and network-level functionality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.