Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

Open and closed-loop control systems

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...

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

You might also read

Related Articles

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

Sort by

Same author

Genetic variation in an miRNA-1827 binding site in MYCL1 alters susceptibility to small-cell lung cancer.

Cancer research·2011

Same author

Effects of electrode surface modification with chlorotoxin on patterning single glioma cells.

Physical chemistry chemical physics : PCCP·2011

Same author

Intracranial clear cell meningioma: a clinicopathologic study of 15 cases.

Acta neurochirurgica·2011

Same author

Striatal-enriched protein tyrosine phosphatase expression and activity in Huntington's disease: a STEP in the resistance to excitotoxicity.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2011

Same author

1-(4,5-Dinitro-10-aza-tricyclo-[6.3.1.0]dodeca-2,4,6-trien-10-yl)-2,2,2-trifluoro-ethanone.

Acta crystallographica. Section E, Structure reports online·2011

Same author

1,2,3,4-Tetra-hydro-1,4-methano-naphthalene-2,3-diol.

Acta crystallographica. Section E, Structure reports online·2011

Same journal

DustNet: A Wireless Network of Ultrasonic Neural Implants.

IEEE transactions on biomedical circuits and systems·2026

Same journal

An 820uW Low Jitter Digital Injection-Locked PLL Using Differential Multi-Phase Injection and Self-Calibration for Biosensing Applications.

IEEE transactions on biomedical circuits and systems·2026

Same journal

MedMambaLite-v2: Shared Selective Scan for Efficient Edge Medical Mamba.

IEEE transactions on biomedical circuits and systems·2026

Same journal

Low-Power OOK Transceiver with Auto-Feedback Calibrator in Receiver and Harmonic Mitigation Technique in Transmitter for Implantable Devices.

IEEE transactions on biomedical circuits and systems·2026

Same journal

Characterization of a Pixel-level Binarized Autocorrelator for Large Array Multispeckle Diffuse Correlation Spectroscopy under Photon-starved Conditions.

IEEE transactions on biomedical circuits and systems·2026

Same journal

A Single-Stage Single-Coil Wireless Multi-Channel Adiabatic Supply Stimulation System for Multiple Source Current Steering Deep Brain Stimulation.

IEEE transactions on biomedical circuits and systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 25, 2026

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

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

Published on: March 2, 2015

A High-Efficiency Neural Processing SoC for Adaptive Closed-Loop Neuromodulation.

Kangyu Su, Zhang Qiu, Yuxiao Yang

IEEE Transactions on Biomedical Circuits and Systems

|June 23, 2026

Summary

This summary is machine-generated.

This study introduces a novel system-on-chip (SoC) for adaptive closed-loop neuromodulation, enhancing accuracy and efficiency. The hardware solution addresses key challenges in treating neurological and psychiatric diseases.

More Related Videos

Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder

Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder

Published on: July 7, 2023

Related Experiment Videos

Last Updated: Jun 25, 2026

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

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

Published on: March 2, 2015

Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder

Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder

Published on: July 7, 2023

Area of Science:

Neuroscience
Electrical Engineering
Computer Science

Background:

Adaptive closed-loop neuromodulation shows promise for neurological and psychiatric disorders.
Current hardware implementations face limitations in accuracy, latency, energy consumption, and compatibility.

Purpose of the Study:

To present a multi-task system-on-chip (SoC) designed to overcome hardware challenges in adaptive closed-loop neuromodulation.
To improve regulation accuracy, reduce overhead, and enhance cross-workload compatibility for neuromodulation therapies.

Main Methods:

Developed a multi-task SoC integrating three key technologies: deterministic on-chip execution of a multi-input multi-output linear state-space model (MIMO LSSM) with linear quadratic Gaussian (LQG) control, a compact parameter-encoding scheme for processing element (PE) arrays, and a mode-configurable compute fabric (MCCF).
Fabricated the SoC using a TSMC 65nm CMOS process.
Evaluated performance and demonstrated functionality on BONN and DEAP datasets.

Main Results:

Achieved significant improvements in energy efficiency (1.43 TOPS/W, 3.08×), area efficiency (1.09 GOPS/mm², 13.29×), and peak performance (5.12 GOPS, 40.96×) compared to existing solutions.
Demonstrated high accuracy in seizure detection (99.18%) and emotion detection (92.3%) on benchmark datasets.

Conclusions:

The proposed SoC provides a competitive and efficient hardware solution for adaptive closed-loop neuromodulation.
The integrated technologies effectively address limitations in current hardware, paving the way for advanced therapeutic applications.