ArticleFrontiers in neuroinformatics2016
Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling.
Article in Frontiers in neuroinformatics, 2016. 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.
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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.
- Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish.Frontiers in computational neuroscience · 2026Article
- Unsupervised electric signal separation for linking behavior and electrocommunication in Gnathonemus petersii.Scientific reports · 2025Article
- Modulation of neuronal dynamics by sustained and activity-dependent continuous-wave near-infrared laser stimulation.Neurophotonics · 2024Article
- Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish.Frontiers in neuroinformatics · 2022Article
- RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience.Frontiers in neuroinformatics · 2019Article
- Electric pulse characteristics can enable species recognition in African weakly electric fish species.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Closed-loop activity-dependent stimulation is a powerful methodology to assess information processing in biological systems. In this context, the development of novel protocols, their implementation in bioinformatics toolboxes and their application to different description levels open up a wide range of possibilities in the study of biological systems. We developed a methodology for studying biological signals representing them as temporal sequences of binary events. A specific sequence of these events (code) is chosen to deliver a predefined stimulation in a closed-loop manner. The response to this code-driven stimulation can be used to characterize the system. This methodology was implemented in a real time toolbox and tested in the context of electric fish signaling. We show that while there are codes that evoke a response that cannot be distinguished from a control recording without stimulation, other codes evoke a characteristic distinct response. We also compare the code-driven response to open-loop stimulation. The discussed experiments validate the proposed methodology and the software toolbox.
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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.