CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "SynaptiPy: An Open-Source Electrophysiology Visualization and Analysis Suite"
abstract: >-
  SynaptiPy is an open-source, cross-platform software suite for the
  visualization and automated analysis of patch-clamp electrophysiology
  data. It provides experimental neuroscientists with a unified graphical
  interface and a programmatic backend supporting over 30 file formats via
  the Neo I/O library, covering analyses from passive membrane properties
  and action potential kinetics to synaptic event detection. All extracted
  metrics are returned as tidy tabular data directly traceable to their
  source file, channel, and trial, enabling reproducible statistical
  workflows without post-processing.
authors:
  - family-names: "Shahul"
    given-names: "Anzal K"
    email: "anzal.ks@gmail.com"
    orcid: "https://orcid.org/0009-0006-9932-7944"
    affiliation: "Institute Neurosciences Cellulaires Et Intégratives (INCI), Centre National de la Recherche Scientifique (CNRS) / University of Strasbourg, Strasbourg, France"
version: "0.1.2b1"
date-released: "2026-05-01"
license: "AGPL-3.0-or-later"
repository-code: "https://github.com/anzalks/synaptipy"
keywords:
  - electrophysiology
  - patch-clamp
  - neuroscience
  - signal-processing
  - data-visualization
  - spike-detection
  - synaptic-events
  - optogenetics
  - batch-analysis
  - neurodata-without-borders