ArticlePLoS computational biology2017
Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI).
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies-Related Issues and Future Directions.Sensors (Basel, Switzerland) · 2020Pooled it
- Real-time GPU-accelerated coupled cardiac system: Integrating bidirectional interactions between living optogenetic monolayers and computational simulations.PLoS computational biology · 2026Article
- The electrophysiology of ventricular cell pairs.Pflugers Archiv : European journal of physiology · 2025Review
- Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit.Frontiers in computational neuroscience · 2025Article
- ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.Nature methods · 2025Article
- BRAND: a platform for closed-loop experiments with deep network models.Journal of neural engineering · 2024Article
- Modulation of neuronal dynamics by sustained and activity-dependent continuous-wave near-infrared laser stimulation.Neurophotonics · 2024Article
- A machine learning approach for real-time cortical state estimation.Journal of neural engineering · 2024Article
- Opto-electronic feedback control of membrane potential for real-time control of action potentials.Cell reports methods · 2023Article
- A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.bioRxiv : the preprint server for biology · 2023Article
- A dynamic clamping approach using in silico IK1 current for discrimination of chamber-specific hiPSC-derived cardiomyocytes.Communications biology · 2023Article
- A field-programmable gate array (FPGA)-based data acquisition system for closed-loop experiments.The Review of scientific instruments · 2022Article
- A dualiScience · 2022Article
- Article
- Article
- State-space optimal feedback control of optogenetically driven neural activity.Journal of neural engineering · 2021Article
- Article
- Article
- Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks.Neuroinformatics · 2020Article
- Pacing made easy: dynamic clamp promotes quantitative understanding of cardiac autorhythmicity and boosts the development of new pacemakers.Pflugers Archiv : European journal of physiology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
The ability to experimentally perturb biological systems has traditionally been limited to static pre-programmed or operator-controlled protocols. In contrast, real-time control allows dynamic probing of biological systems with perturbations that are computed on-the-fly during experimentation. Real-time control applications for biological research are available; however, these systems are costly and often restrict the flexibility and customization of experimental protocols. The Real-Time eXperiment Interface (RTXI) is an open source software platform for achieving hard real-time data acquisition and closed-loop control in biological experiments while retaining the flexibility needed for experimental settings. RTXI has enabled users to implement complex custom closed-loop protocols in single cell, cell network, animal, and human electrophysiology studies. RTXI is also used as a free and open source, customizable electrophysiology platform in open-loop studies requiring online data acquisition, processing, and visualization. RTXI is easy to install, can be used with an extensive range of external experimentation and data acquisition hardware, and includes standard modules for implementing common electrophysiology protocols.
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.