ArticleFrontiers in neural circuits2012
Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.
Article in Frontiers in neural circuits, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Inkube: an all-in-one solution for neuron culturing, electrophysiology, and fluidic exchange.Lab on a chip · 2026Article
- Online supervised learning of temporal patterns in biological neural networks under feedback control.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- OP-GLX: A MATLAB Toolbox for Online Processing and Plotting of Neuropixels Data Acquired with SpikeGLX.bioRxiv : the preprint server for biology · 2026Article
- Harnessing Intelligence from Brain Cells In Vitro.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025Review
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Starting a synthetic biological intelligence lab from scratch.Patterns (New York, N.Y.) · 2025Review
- ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.Nature methods · 2025Article
- Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Spike sorting in the presence of stimulation artifacts: a dynamical control systems approach.Journal of neural engineering · 2024Article
- The technology, opportunities, and challenges of Synthetic Biological Intelligence.Biotechnology advances · 2023Review
- A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.bioRxiv : the preprint server for biology · 2023Article
- Large-Area Field Potential Imaging Having Single Neuron Resolution Using 236 880 Electrodes CMOS-MEA Technology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Transcranial low-intensity ultrasound stimulation for treating central nervous system disorders: A promising therapeutic application.Frontiers in neurology · 2023Review
- A fully implantable wireless bidirectional neuromodulation system for mice.Biosensors & bioelectronics · 2022Article
- Improving scalability in systems neuroscience.Neuron · 2021Review
- Closed-Loop Transcranial Ultrasound Stimulation for Real-Time Non-invasive NeuromodulationFrontiers in neuroscience · 2020Article
- Telemetry-controlled simultaneous stimulation-and-recording device (SRD) to study interhemispheric cortical circuits in rat primary somatosensory (SI) cortex.BMC biomedical engineering · 2019Article
- RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience.Frontiers in neuroinformatics · 2019Article
- Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals.Sensors (Basel, Switzerland) · 2018Article
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.
Funding
Abstract
We present a system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatio-temporal patterns of recorded action potentials and is capable of delivering sub-millisecond closed-loop feedback of electrical stimulation upon trigger events in real-time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a "knob" to tune information processing in the network.
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.