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 Experiment Video

Updated: Mar 3, 2026

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

7.6K

A 128-Channel FPGA-Based Real-Time Spike-Sorting Bidirectional Closed-Loop Neural Interface System.

Jongkil Park, Gookhwa Kim, Sang-Don Jung

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |May 2, 2017
    PubMed
    Summary

    This study introduces a 128-channel FPGA-based neural interface for real-time bidirectional brain-computer interfaces. It enables high-speed data recording and stimulation with efficient online spike sorting, overcoming memory limitations for closed-loop systems.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Spike-based Q-learning in a non-von Neumann architecture.

    Frontiers in neuroscience·2026
    Same author

    Ovonic Switches Enable Energy-Efficient Dendrite-like Computing.

    Nano letters·2025
    Same author

    Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System.

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025
    Same author

    Biocompatible Multilayered Encapsulation for Organic Light-Emitting Diodes.

    ACS applied materials & interfaces·2025
    Same author

    Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network.

    Frontiers in neuroscience·2025
    Same author

    <i>In vitro</i> recording and stimulation performance of multi-electrode arrays passivated with plasma-enhanced atomic layer-deposited metal oxides.

    Nanoscale·2025

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Computer Engineering

    Background:

    • Multichannel neural interface systems are crucial for neuroscientific research, requiring high-precision recording and stimulation capabilities.
    • Real-time signal processing is essential for closed-loop systems, but online spike sorting faces hardware limitations due to memory constraints.

    Purpose of the Study:

    • To develop a 128-channel field-programmable gate array (FPGA)-based real-time closed-loop bidirectional neural interface system.
    • To address memory limitations in online spike sorting for real-time closed-loop applications.

    Main Methods:

    • Implemented a 128-channel system with simultaneous recording and eight stimulation channels.
    • Utilized a modular analog front-end (AFE) for scalable, versatile electrophysiological signal acquisition.

    More Related Videos

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.6K
    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

    10.9K

    Related Experiment Videos

    Last Updated: Mar 3, 2026

    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

    7.6K
    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.6K
    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

    10.9K
  • Developed an FPGA-based online spike sorting algorithm using template matching and unsupervised learning.
  • Introduced a "dynamic cache organizing" technique to reduce memory requirements to 6 kbit per channel.

    • Main Results:

    • Achieved a 128-channel bidirectional neural interface system capable of real-time operation.
    • Demonstrated low noise (1.59 ± 0.76 root-mean-square) electrophysiological signal recording.
    • Successfully implemented an FPGA-based online spike sorting algorithm with reduced memory footprint.
    • The proposed memory-saving technique significantly lowers hardware implementation barriers.

    Conclusions:

    • The developed FPGA-based system offers a scalable and efficient solution for real-time closed-loop neuroscientific studies.
    • The novel memory-saving approach for online spike sorting enables practical hardware implementation.
    • This system advances the development of advanced brain-computer interfaces.