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A User-friendly and Powerful R Analysis of Large-scale Datasets

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Automatic spike train analysis and report generation. An implementation with R, R2HTML and STAR.

Christophe Pouzat¹, Antoine Chaffiol

¹Laboratoire de Physiologie Cérébrale, CNRS UMR 8118, UFR biomédicale de l'université Paris-Descartes, 45 Rue des Saints-Pères, 75006 Paris, France. christophe.pouzat@univ-paris5.fr

Journal of Neuroscience Methods

|May 29, 2009

Summary

Neuroscientists can now efficiently analyze neural data with the open-source R package STAR. This tool automates spike train analysis, generating organized HTML reports for multi-electrode array recordings.

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Assessment of the Effects of Endocrine Disrupting Compounds on the Development of Vertebrate Neural Network Function Using Multi-electrode Arrays

Assessment of the Effects of Endocrine Disrupting Compounds on the Development of Vertebrate Neural Network Function Using Multi-electrode Arrays

Published on: April 26, 2018

Area of Science:

Neuroscience
Computational Biology
Bioinformatics

Background:

Multi-electrode arrays (MEAs) enable simultaneous extracellular recording from numerous neurons over extended periods.
Analyzing MEA data involves time-consuming spike sorting and repetitive analysis of isolated spike trains.
Spike train analysis often generates numerous diagnostic plots requiring organization for subsequent use.

Purpose of the Study:

To develop and provide accessible computational tools for routine spike train analysis.
To streamline the analysis of neural data from MEA recordings, particularly for olfactory system research.
To create an organized reporting system for neurophysiological data analysis.

Main Methods:

Development of a suite of R functions for spike train analysis, incorporating common and novel procedures.
Implementation of batch processing capabilities for efficient analysis of multiple datasets.
Generation of organized reports in HTML format, including graphical and numerical outputs.

Main Results:

A new R package, Spike Train Analysis with R (STAR), has been developed and made available.
The STAR package offers automated analysis for both spontaneous and stimulus-evoked neural activity.
The functions can be easily modified to accommodate specific user requirements and research needs.

Conclusions:

The STAR package provides neurophysiologists with a free, open-source tool for efficient spike train analysis.
Automated analysis and organized reporting significantly reduce the time and effort required for MEA data processing.
The developed procedures offer general utility and adaptability for diverse neurophysiological research applications.