• Pylabianca: comprehensive and...

Treffer: Pylabianca: comprehensive and user‑friendly Python package for single‑neuron data analysis.

Title:
Pylabianca: comprehensive and user‑friendly Python package for single‑neuron data analysis.
Authors:
Magnuski M; Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. e@d.e., Średniawa W; Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. e@d.e., Paluch K; Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. e@d.e., Ivanovski D; Department of Neurosurgery, SUNY Upstate Medical University, Syracuse, New York, USA. e@d.e., Babu H; Department of Neurosurgery, SUNY Upstate Medical University, Syracuse, New York, USA. e@d.e., Kaminski J; Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. j.kaminski@nencki.edu.pl.
Source:
Acta neurobiologiae experimentalis [Acta Neurobiol Exp (Wars)] 2023 Dec 28; Vol. 83 (4), pp. 432-446. Date of Electronic Publication: 2023 Dec 28.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Nencki Institute of Experimental Biology Country of Publication: Poland NLM ID: 1246675 Publication Model: Electronic Cited Medium: Internet ISSN: 1689-0035 (Electronic) Linking ISSN: 00651400 NLM ISO Abbreviation: Acta Neurobiol Exp (Wars) Subsets: MEDLINE
Imprint Name(s):
Publication: Warsaw : Nencki Institute of Experimental Biology
Original Publication: Warsaw, Polish Scientific Publishers.
MeSH Terms:
Data Analysis* , Neurons*
Entry Date(s):
Date Created: 20240115 Date Completed: 20240116 Latest Revision: 20240116
Update Code:
20250114
DOI:
10.55782/ane-2023-2440
PMID:
38224287
Database:
MEDLINE

Weitere Informationen

In the area of electrophysiology, the availability of comprehensive and user‑friendly tools for single-neuron data processing, statistical analysis, and fast, intuitive data visualization is limited. To address this gap, we introduce pylabianca, a Python library tailored for robust single and multi‑unit data processing. Pylabianca leverages the power of standard Python packages and adopts the application programming interface of MNE‑Python, one of the most widely used electrophysiology packages. One of pylabianca's primary objectives is to provide a low entry threshold for scientists, requiring only basic Python programming skills. Pylabianca was designed to streamline most common analyses of single neuron data, and provide convenient data structures to serve as a foundation for building custom analysis pipelines. We believe that pylabianca will contribute to enhancing researchers' capabilities and efficiency in the field of single-neuron electrophysiology.