Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Extent of the low-density line is associated with time to fracture in children with congenital anterolateral bowing of the tibia: a retrospective survival analysis.

Frontiers in pediatrics·2026
Same author

Lower-Leg muscle index Identifies High-Risk Peripheral artery disease Patients: Mortality prediction via Machine learning.

European journal of radiology·2026
Same author

Sarcopenia is an Independent Predictor of All-Cause Death and Major Adverse Cardiovascular Events in Patients with Peripheral Arterial Disease.

Annals of vascular surgery·2026
Same author

Bioresorbable electrochemical sensors for continuous deep-tissue lactate monitoring in critical care.

Nature communications·2026
Same author

Disgust Propensity, Not Disgust Sensitivity, Shapes the Reactivity of a Subjective Disgust Circuit in Humans.

Human brain mapping·2026
Same author

MRPL3 is identified as a prognostic biomarker and therapeutic target in lung adenocarcinoma via a lactylation-disulfidptosis gene signature model and experimental validation.

Frontiers in immunology·2026
Same journal

Pathology-Targeted Nanoparticles Guided by Peptide Remodel the Periodontal Microenvironment for Periodontitis Therapy.

Advanced healthcare materials·2026
Same journal

Gellan Gum Fluid Gel System for Controlled-Delivery of Cytokine-Licensed MSC-EVs to Enhance Corneal Repair in Limbal Stem Cell Deficiency.

Advanced healthcare materials·2026
Same journal

Diabetic Wound Healing Enabled by a Tri-Functional MAX Phase via Cu Doping.

Advanced healthcare materials·2026
Same journal

Plasmonically Reinforced Self-Sufficient Nanozymes Dysregulating Redox Homeostasis for Augmented Cascade Catalytic Oncotherapy.

Advanced healthcare materials·2026
Same journal

Spontaneous Helical Alignment of Smooth Muscle Cells to Form a Medial Layer for Engineered Microvasculature.

Advanced healthcare materials·2026
Same journal

Injectable Antifouling Adhesive Hydrogel Enables Robust Neural Interfaces for Stable ECoG Recording.

Advanced healthcare materials·2026
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

Multimodal Technologies for Closed-Loop Neural Modulation and Sensing.

Lizhu Li1, Bozhen Zhang2, Wenxin Zhao3

  • 1Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Advanced Healthcare Materials
|April 19, 2024
PubMed
Summary
This summary is machine-generated.

Researchers are exploring adaptive neural interfaces for real-time treatment of neurological disorders. This approach moves beyond rigid methods, enabling personalized interventions for conditions like epilepsy and spinal cord injury.

Keywords:
closed‐loop techniqueneural sensingneuromodulation

More Related Videos

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.0K
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.3K

Related Experiment Videos

Last Updated: Jun 26, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.0K
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.3K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Materials Science

Background:

  • Current neurological treatments rely on fixed physical/chemical cues, limiting real-time adaptation.
  • Developing adaptive neural interfaces is crucial for in vivo research and personalized therapies.

Purpose of the Study:

  • To review the integration of multimodal approaches for closed-loop neural modulation and sensing.
  • To highlight advanced technologies for precise neural interaction and diagnostics.

Main Methods:

  • Summarizing current and potential integrations of various signal modalities (electrical, magnetic, optical, acoustic, chemical).
  • Highlighting advanced materials, devices, and systems for neural interrogation.
  • Reviewing closed-loop techniques for diagnostics and treatment.

Main Results:

  • Integration of diverse modalities enables precise, adaptive control and sensing in neural systems.
  • Advanced technologies facilitate real-time interaction with neural cells, tissues, and networks.
  • Closed-loop techniques show promise for neurological disorder management.

Conclusions:

  • Adaptive, closed-loop neural interfaces offer a paradigm shift beyond rigid, predefined methods.
  • These techniques are vital for advancing diagnostics and treatments for neurological disorders.
  • Future research should focus on refining these integrated systems for clinical applications.