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: May 25, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Dynamic Brain-Machine Interface: a novel paradigm for bidirectional interaction between brains and dynamical systems.

Francois D Szymanski1, Marianna Semprini, Ferdinando A Mussa-Ivaldi

  • 1Robotics Brain and Cognitive Sciences Dept, Istituto Italiano di Tecnologia, Genoa, Italy. francois.szymanski@iit.it

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

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

Superficial Ventral Premotor Pathways to Primary Motor Cortex Shape the Temporal Coordination of Precision Grasping.

The European journal of neuroscience·2026
Same author

Population codes for context-dependent decision-making.

Current opinion in neurobiology·2026
Same author

Motor imagery supported by augmented reality activates motor brain areas similarly to physical movements.

Journal of neural engineering·2026
Same author

A perspective on neuromechanical biomarkers for neurorehabilitation: towards reliable assessment in research and clinical practice.

Progress in biomedical engineering (Bristol, England)·2026
Same author

Decomposing the modulation of interactions between neuronal populations.

bioRxiv : the preprint server for biology·2026
Same author

Toward a general framework for kinematic coding. reply to comments on "kinematic coding: Measuring information in naturalistic behaviour".

Physics of life reviews·2026

This study introduces a novel bidirectional Brain-Machine Interface (BMI) model inspired by the spinal cord. It enables two-way communication for restoring motor functions by decoding neural activity and providing sensory feedback.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Robotics

Background:

  • Brain-Machine Interfaces (BMIs) aim to restore motor functions by creating a communication channel between the brain and artificial devices.
  • Current BMIs often lack bidirectional capabilities, limiting their potential for restoring complex motor skills.
  • Restoring motor function requires both decoding motor commands and providing sensory feedback to the brain.

Purpose of the Study:

  • To present a novel model of a bidirectional Brain-Machine Interface (BMI).
  • To establish a two-way brain-world communication channel for motor function restoration.
  • To develop a BMI system inspired by the vertebrate spinal cord's communication pathways.

Main Methods:

  • Developed a bidirectional BMI model incorporating motor and sensory interfaces.

More Related Videos

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Related Experiment Videos

Last Updated: May 25, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

  • Modeled bidirectional communication via neural activity decoding and electrical stimulation feedback.
  • Utilized a mathematical model of sensory and motor interfaces to control a point mass in a viscous medium.

    • Main Results:

    • Demonstrated a functional bidirectional BMI model.
    • Successfully decoded motor commands from neural activity.
    • Provided sensory feedback to the brain through electrical stimulation.
    • Tested the model's performance using simulated neural responses.

    Conclusions:

    • The proposed bidirectional BMI model shows promise for restoring motor functions.
    • This approach offers a new pathway for creating advanced neuroprosthetics.
    • Further research can explore real-world applications and refine the interface designs.