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

Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
Transformers in Distribution System01:27

Transformers in Distribution System

Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

You might also read

Related Articles

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

Sort by
Same author

Cross-population amplitude coupling in high-dimensional oscillatory neural time series.

Frontiers in computational neuroscience·2026
Same author

Isoflurane anesthesia suppresses gastric myoelectric power in the ferret.

Neurogastroenterology and motility·2024
Same author

Anesthesia suppresses gastric myoelectric power in the ferret.

bioRxiv : the preprint server for biology·2023
Same author

Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.

Advances in neural information processing systems·2023
Same author

Leading Through Challenging Times.

Journal for nurses in professional development·2022
Same author

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.

Proceedings of the National Academy of Sciences of the United States of America·2022

Related Experiment Video

Updated: Jul 9, 2026

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

Spike train decoding without spike sorting.

Valérie Ventura1

  • 1Department of Statistics and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A. vventura@stat.cmu.edu

Neural Computation
|December 19, 2007
PubMed
Summary

We introduce a new method for decoding neural signals that bypasses complex spike sorting. This approach is efficient, even with noisy data, and saves computational resources for real-time brain-machine interfaces.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Spike train decoding is crucial for understanding neural activity.
  • Traditional methods rely on spike sorting, which is computationally intensive and sensitive to noise.
  • Efficient decoding is essential for real-time brain-machine interfaces (BMIs).

Purpose of the Study:

  • To propose a novel paradigm for spike train decoding that eliminates the need for spike sorting.
  • To demonstrate the efficiency and robustness of this new paradigm.
  • To reduce computational load for real-time BMI applications.

Main Methods:

  • Directly utilizing thresholded, bandpassed voltage signals from electrodes.
  • Integrating the paradigm with existing decoding algorithms (e.g., population vector, likelihood-based).

More Related Videos

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

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Related Experiment Videos

Last Updated: Jul 9, 2026

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

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

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

  • Employing an expectation-maximization (EM) algorithm for efficient processing.

    • Main Results:

    • The proposed paradigm achieves decoding performance comparable to, and sometimes exceeding, traditional methods.
    • The paradigm remains effective even with electrodes heavily corrupted by noise.
    • Significant reduction in time and computational effort compared to traditional spike sorting.

    Conclusions:

    • This novel decoding paradigm offers a more efficient and robust alternative to traditional spike sorting.
    • It is particularly advantageous for real-time brain-machine interfaces.
    • The method's efficiency allows for potential online adaptation to changing neural states.