ArticleRoyal Society open science2023
Computational capability of ecological dynamics.
Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Harvested reservoir computing from road traffic dynamics.Scientific reports · 2025Article
- Harnessing natural embodied intelligence for spontaneous jellyfish cyborgs.Nature communications · 2025Article
- Information structure of heterogeneous criticality in a fish school.Scientific reports · 2024Article
- Embedding Bifurcations into Pneumatic Artificial Muscle.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Computational capability of ecological dynamics.Royal Society open science · 2023Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ecological dynamics is driven by complex ecological networks. Computational capabilities of artificial networks have been exploited for machine learning purposes, yet whether an ecological network possesses a computational capability and whether/how we can use it remain unclear. Here, we developed two new computational/empirical frameworks based on reservoir computing and show that ecological dynamics can be used as a computational resource.
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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.