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

You might also read

Related Articles

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

Sort by
Same author

Large Language Models Reveal the Neural Tracking of Linguistic Context in Attended and Unattended Multi-Talker Speech.

bioRxiv : the preprint server for biology·2026
Same author

Large language models reveal the neural tracking of linguistic context in attended and unattended multi-talker speech.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Real-time brain-controlled selective hearing enhances speech perception in multi-talker environments.

Nature neuroscience·2026
Same author

From Selective Listening to Brain-Controlled Hearing: A Perspective on the Future of Auditory Technology.

Journal of the Association for Research in Otolaryngology : JARO·2026
Same author

Speaker Identity is Robustly Encoded in Spatial Patterns of Intracranial EEG for Attention Decoding.

bioRxiv : the preprint server for biology·2025
Same author

Joint Population Coding and Temporal Coherence Link an Attended Talker's Voice and Location Features in Naturalistic Multi-talker Scenes.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026
Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026
Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026
Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026
See all related articles

Related Experiment Video

Updated: Aug 2, 2025

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.8K

naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python.

Gavin Mischler1,2, Vinay Raghavan1,2, Menoua Keshishian1,2

  • 1Mortimer B. Zuckerman Mind Brain Behavior, Columbia University, New York, United States.

Arxiv
|April 17, 2023
PubMed
Summary
This summary is machine-generated.

Naplib-python unifies auditory neuroscience with a general data structure for neural recordings and stimuli. This package simplifies complex data analysis, promoting transparency and reproducibility in computational neuroscience research.

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K
Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.5K

Related Experiment Videos

Last Updated: Aug 2, 2025

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.8K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K
Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.5K

Area of Science:

  • Computational Neuroscience
  • Auditory Neuroscience

Background:

  • The computational neuroscience field requires greater transparency and reproducibility.
  • Auditory neuroscience research faces challenges with complex data structures and varying stimuli.

Approach:

  • Naplib-python offers an intuitive, general data structure for neural recordings and stimuli.
  • The package includes tools for preprocessing, feature extraction, and analysis tailored for auditory data.

Key Points:

  • Simplifies handling of varying trial durations and multi-modal stimuli.
  • Provides a unified framework for auditory data analysis.
  • Enhances reproducibility in computational neuroscience studies.

Conclusions:

  • Naplib-python facilitates a more cohesive and reproducible auditory neuroscience domain.
  • The package integrates seamlessly with existing neuroscience toolboxes.