Evidence map›Paper›PMID 37771949›Full record

ArticleSoftware impacts2023

naplib-python: Neural acoustic data processing and analysis tools in python.

Gavin Mischler, Vinay Raghavan, Menoua Keshishian, Nima Mesgarani

Abstract read
In one paragraph

Article in Software impacts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
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  4. Attentional Engagement with Target and Distractor Streams Predicts Speech Comprehension in Multitalker Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Decoding auditory attention for real-time BCI control.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gavin MischlerMortimer B. Zuckerman Mind Brain Behavior, Columbia University, NY, United States.
Vinay RaghavanMortimer B. Zuckerman Mind Brain Behavior, Columbia University, NY, United States.
Menoua KeshishianMortimer B. Zuckerman Mind Brain Behavior, Columbia University, NY, United States.
Nima MesgaraniMortimer B. Zuckerman Mind Brain Behavior, Columbia University, NY, United States.

Funding

Neurophysiology of robust speech perception in human superior temporal gyrusR01DC014279 · NIDCD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Nima MESGARANI · 2015 to 2026
$5.3M
NIDCD NIH HHS R01 DC014279
6 · The paper itself

Abstract

Recently, the computational neuroscience community has pushed for more transparent and reproducible methods across the field. In the interest of unifying the domain of auditory neuroscience, naplib-python provides an intuitive and general data structure for handling all neural recordings and stimuli, as well as extensive preprocessing, feature extraction, and analysis tools which operate on that data structure. The package removes many of the complications associated with this domain, such as varying trial durations and multi-modal stimuli, and provides a general-purpose analysis framework that interfaces easily with existing toolboxes used in the field.

Indexed as

Auditory neuroscienceEcoGiEEGPreprocessingPython

Identifiers

PMID37771949
PMCPMC10538526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.