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cff-version: 1.3.0
message: "If you use this software, please cite it using the metadata below."
title: "pAMICA: a Python implementation of Adaptive Mixture ICA"
abstract: >-
pamica is a Python (PyTorch) implementation of Adaptive Mixture Independent
Component Analysis (AMICA) that reproduces the reference Fortran
implementation, with GPU (CUDA), Apple-GPU (MLX), and CPU support. It targets
EEG/EMG blind source separation.
type: software
authors:
- family-names: Shirazi
given-names: Seyed Yahya
email: shirazi@ieee.org
orcid: "https://orcid.org/0000-0001-5557-259X"
affiliation:
name: "Swartz Center for Computational Neuroscience"
ror: "https://ror.org/01bt2qm76"
- family-names: Delorme
given-names: Arnaud
orcid: "https://orcid.org/0000-0002-0799-3557"
affiliation:
- name: "Swartz Center for Computational Neuroscience"
ror: "https://ror.org/01bt2qm76"
- name: "Centre de Recherche Cerveau et Cognition (CerCo), CNRS"
ror: "https://ror.org/04fhrs205"
- family-names: Makeig
given-names: Scott
orcid: "https://orcid.org/0000-0002-9048-8438"
affiliation:
name: "Swartz Center for Computational Neuroscience"
ror: "https://ror.org/01bt2qm76"
version: 0.3.1
date-released: "2026-07-19"
license: BSD-3-Clause
repository-code: "https://github.com/sccn/pAMICA"
url: "https://eeglab.org/pAMICA/"
keywords:
- AMICA
- independent component analysis
- blind source separation
- EEG
- EMG
- PyTorch
references:
- type: article
title: "AMICA: An adaptive mixture of independent component analyzers with shared components"
authors:
- family-names: Palmer
given-names: Jason A.
- family-names: Kreutz-Delgado
given-names: Kenneth
- family-names: Makeig
given-names: Scott
year: 2012
institution:
name: Swartz Center for Computational Neuroscience, University of California San Diego
# Concept (all-versions) DOI; always resolves to the latest release.
doi: "10.5281/zenodo.21312148"