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

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

You might also read

Related Articles

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

Sort by
Same author

PUFA-rich oil supplement improves hair condition of cats and dogs.

Open veterinary journal·2026
Same author

Haplotype-resolved genome architecture mapping uncovers pervasive structural heterogeneity between human homologous chromosomes.

bioRxiv : the preprint server for biology·2026
Same author

Development and Application of Nano-Micro Sealant for Water-Based Drilling Fluids in Deep Shale Gas Formations of the Sichuan-Chongqing Region.

Gels (Basel, Switzerland)·2026
Same author

Lymphocyte variant hypereosinophilic syndrome with severe eosinophilic pneumonia treated with mepolizumab: a case report.

Central-European journal of immunology·2026
Same author

General Difluoroalkylation of Unactivated Alkenes Via Allylic Mizoroki-Heck Coupling.

JACS Au·2026
Same author

Efficient vision mamba for MRI super-resolution via hybrid selective scanning.

Medical physics·2026
Same journal

Preface.

Progress in brain research·2025
Same journal

Mindfulness and meditation: Promoting emotional and cognitive health.

Progress in brain research·2025
Same journal

Cognitive stimulation enhancing memory and mental function.

Progress in brain research·2025
Same journal

The science behind non-pharmacological interventions.

Progress in brain research·2025
Same journal

Technology-assisted interventions for neuropsychiatric disorders.

Progress in brain research·2025
Same journal

Ethical consideration in non-pharmacological treatments for neuropsychiatric disorders.

Progress in brain research·2025
See all related articles

Related Experiment Video

Updated: May 29, 2026

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Published on: September 1, 2023

Making the lifetime connection between brain and machine for restoring and enhancing function.

Philip Kennedy1, Dinal Andreasen, Jess Bartels

  • 1Neural Signals Inc., Duluth, GA, USA. phil@neuralsignals.com

Progress in Brain Research
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

A reliable neural interface, achieved by neural tissue integration with electrodes, enables long-term recording of brain activity. This technology is crucial for developing neural prosthetics and enhancing brain function.

More Related Videos

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

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Related Experiment Videos

Last Updated: May 29, 2026

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Published on: September 1, 2023

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

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neural Engineering

Background:

  • Developing long-lasting neural interfaces is key for neural prosthetics and brain function enhancement.
  • Successful interfaces require secure electrode integration with surrounding neural tissue.

Purpose of the Study:

  • To demonstrate a reliable, long-term neural interface for recording neural activity.
  • To explore the use of recorded neural signals for speech and auditory tasks.

Main Methods:

  • Implanted electrodes were used to record stable single and multiunit neural activity in three subjects.
  • A paralyzed and mute subject used recorded single units to recognize phonemes and perform speech tasks.
  • Decoding methods and auditory feedback were employed to train the subject in speech production.

Main Results:

  • Single units were reliably recorded for over five years, showing an inverse relationship between firing rate and amplitude.
  • Over half of English phonemes were recognized using single-unit activity in a speech motor cortex implant.
  • The subject achieved an 80% success rate in producing four vowels with audio feedback.

Conclusions:

  • Reliable, long-term neural recording is achievable through neural tissue integration.
  • Single units are critical for precise neural decoding, particularly in speech tasks.
  • Neural interfaces hold significant potential for neural prosthetics and cognitive enhancement.