sccn · neuromechanist · Jul 18, 2026 · Jul 18, 2026 · Jul 18, 2026
diff --git a/.zenodo.json b/.zenodo.json
@@ -35,7 +35,7 @@
   ],
   "related_identifiers": [
     {
-      "identifier": "https://eeglab.org/pyAMICA/",
+      "identifier": "https://eeglab.org/pAMICA/",
       "relation": "isDocumentedBy",
       "scheme": "url",
       "resource_type": "publication-softwaredocumentation"

diff --git a/CITATION.cff b/CITATION.cff
@@ -32,8 +32,8 @@ authors:
 version: 0.2.1
 date-released: "2026-07-18"
 license: BSD-3-Clause
-repository-code: "https://github.com/sccn/pyAMICA"
-url: "https://eeglab.org/pyAMICA/"
+repository-code: "https://github.com/sccn/pAMICA"
+url: "https://eeglab.org/pAMICA/"
 keywords:
   - AMICA
   - independent component analysis

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -9,7 +9,7 @@ standard rather than to "it converges."
 ## Getting help and reporting issues
 
 - **Questions, bugs, and feature requests:** please open an issue on the
-  [GitHub issue tracker](https://github.com/sccn/pyAMICA/issues).
+  [GitHub issue tracker](https://github.com/sccn/pAMICA/issues).
 - When reporting a bug, include the pamica version, platform, device
   (CPU/CUDA/MPS/MLX), precision (float32/float64), and a minimal example.
 
@@ -19,8 +19,8 @@ pamica uses [UV](https://docs.astral.sh/uv/) for environment and dependency
 management.
 
 ```bash
-git clone https://github.com/sccn/pyAMICA.git
-cd pyAMICA
+git clone https://github.com/sccn/pAMICA.git
+cd pAMICA
 uv sync                 # install the project and dependencies
 uv run pytest           # run the test suite
 ```

diff --git a/README.md b/README.md
@@ -1,9 +1,9 @@
 # pAMICA: Adaptive Mixture ICA
 
-[![CI](https://github.com/sccn/pyAMICA/actions/workflows/ci.yml/badge.svg)](https://github.com/sccn/pyAMICA/actions/workflows/ci.yml)
-[![codecov](https://codecov.io/gh/sccn/pyAMICA/branch/main/graph/badge.svg)](https://codecov.io/gh/sccn/pyAMICA)
+[![CI](https://github.com/sccn/pAMICA/actions/workflows/ci.yml/badge.svg)](https://github.com/sccn/pAMICA/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/sccn/pAMICA/branch/main/graph/badge.svg)](https://codecov.io/gh/sccn/pAMICA)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.21312148.svg)](https://doi.org/10.5281/zenodo.21312148)
-[![Docs](https://img.shields.io/badge/docs-eeglab.org%2FpyAMICA-blue)](https://eeglab.org/pyAMICA/)
+[![Docs](https://img.shields.io/badge/docs-eeglab.org%2FpAMICA-blue)](https://eeglab.org/pAMICA/)
 
 Python (PyTorch) implementation of Adaptive Mixture Independent Component Analysis
 (AMICA) that reproduces the reference Fortran implementation within numerical
@@ -14,7 +14,7 @@ in EEGLAB.
 
 Single-model results match the Fortran reference (Hungarian-matched component correlation ~ 0.998
 on well-determined data, Newton disabled); see the
-[documentation](https://eeglab.org/pyAMICA/) for validation details and the
+[documentation](https://eeglab.org/pAMICA/) for validation details and the
 backend-selection guide.
 
 ## Overview
@@ -33,8 +33,8 @@ AMICA (Adaptive Mixture ICA) is an advanced blind source separation algorithm th
 The canonical environment is [uv](https://docs.astral.sh/uv/):
 
 ```bash
-git clone https://github.com/sccn/pyAMICA.git
-cd pyAMICA
+git clone https://github.com/sccn/pAMICA.git
+cd pAMICA
 uv sync                     # install dependencies into a managed venv
 uv run pytest               # optional: run the tests
 ```
@@ -95,7 +95,7 @@ The NumPy reference backend keeps a JSON-driven command-line interface:
 python -m pamica.numpy_impl.cli params.json --outdir results
 ```
 
-See the [documentation](https://eeglab.org/pyAMICA/) for the full API, the
+See the [documentation](https://eeglab.org/pAMICA/) for the full API, the
 parameter reference, and the backend-selection and validation guides.
 
 ## Citation

diff --git a/docs/api/native-backend.md b/docs/api/native-backend.md
@@ -44,7 +44,7 @@ asset and caches it, so later runs are offline:
   it has passed its checksum; a failed or tampered download never runs.
 - **Platforms:** prebuilt binaries are attached to each release for macOS arm64,
   Linux x64, Linux arm64 and Windows x64. Windows arm64 has no native Fortran
-  toolchain yet ([#173](https://github.com/sccn/pyAMICA/issues/173)); it maps to
+  toolchain yet ([#173](https://github.com/sccn/pAMICA/issues/173)); it maps to
   the x64 binary, which runs under Windows 11 ARM's x64 emulation.
 
 Install the binary explicitly (for example to pre-populate the cache in an

diff --git a/docs/api/viz.md b/docs/api/viz.md
@@ -15,7 +15,7 @@ mutating pyplot's global state.
   probable model at each timepoint.
 A per-component scalp-topography plot is not included yet: deriving source
 activations from a loaded `AmicaOutput` depends on an unsettled `W` convention
-question, tracked in [#159](https://github.com/sccn/pyAMICA/issues/159).
+question, tracked in [#159](https://github.com/sccn/pAMICA/issues/159).
 
 ```python
 from pamica import plot_pmi_heatmap, plot_model_probability

diff --git a/docs/changelog.md b/docs/changelog.md
@@ -1,7 +1,7 @@
 # Changelog
 
 Release notes are also published on the
-[GitHub releases page](https://github.com/sccn/pyAMICA/releases).
+[GitHub releases page](https://github.com/sccn/pAMICA/releases).
 
 ## 0.2.1
 

diff --git a/docs/development/contributing.md b/docs/development/contributing.md
@@ -1,15 +1,15 @@
 # Contributing
 
 Contributions are welcome. This page summarizes the development workflow; see the
-full [CONTRIBUTING](https://github.com/sccn/pyAMICA/blob/main/CONTRIBUTING.md)
-and [Code of Conduct](https://github.com/sccn/pyAMICA/blob/main/CODE_OF_CONDUCT.md)
+full [CONTRIBUTING](https://github.com/sccn/pAMICA/blob/main/CONTRIBUTING.md)
+and [Code of Conduct](https://github.com/sccn/pAMICA/blob/main/CODE_OF_CONDUCT.md)
 in the repository root.
 
 ## Development setup
 
 ```bash
-git clone https://github.com/sccn/pyAMICA.git
-cd pyAMICA
+git clone https://github.com/sccn/pAMICA.git
+cd pAMICA
 uv sync                 # install the project and dependencies
 uv run pytest           # run the test suite
 ```
@@ -27,5 +27,5 @@ uv run pytest           # run the test suite
 ## Reporting issues and getting help
 
 Please open an issue on the
-[GitHub issue tracker](https://github.com/sccn/pyAMICA/issues) for bug
+[GitHub issue tracker](https://github.com/sccn/pAMICA/issues) for bug
 reports, feature requests, and questions.
diff --git a/docs/getting-started.md b/docs/getting-started.md
@@ -8,8 +8,8 @@ management.
 ### From source
 
 ```bash
-git clone https://github.com/sccn/pyAMICA.git
-cd pyAMICA
+git clone https://github.com/sccn/pAMICA.git
+cd pAMICA
 uv sync            # install the project and its dependencies into .venv
 ```
 

diff --git a/mkdocs.yml b/mkdocs.yml
@@ -1,16 +1,16 @@
 # pAMICA documentation (MkDocs Material).
 # Deployed to GitHub Pages by .github/workflows/docs.yml. The repo lives at
-# github.com/sccn/pyAMICA, whose project Pages inherit the sccn org Pages custom
-# domain (eeglab.org) at the /pyAMICA subpath, so the site is served at
-# https://eeglab.org/pyAMICA/. Links are relative so the build is location-independent.
+# github.com/sccn/pAMICA, whose project Pages inherit the sccn org Pages custom
+# domain (eeglab.org) at the /pAMICA subpath, so the site is served at
+# https://eeglab.org/pAMICA/. Links are relative so the build is location-independent.
 
 site_name: pAMICA Documentation
-site_url: https://eeglab.org/pyAMICA/
+site_url: https://eeglab.org/pAMICA/
 site_description: Python (PyTorch) implementation of Adaptive Mixture ICA (AMICA) with Fortran parity and GPU/MPS/CPU support.
 site_author: Seyed Yahya Shirazi
 
-repo_url: https://github.com/sccn/pyAMICA/
-repo_name: sccn/pyAMICA
+repo_url: https://github.com/sccn/pAMICA/
+repo_name: sccn/pAMICA
 edit_uri: edit/main/docs/
 
 theme:

diff --git a/pamica/native/resolver.py b/pamica/native/resolver.py
@@ -17,7 +17,7 @@
 import urllib.request
 from pathlib import Path
 
-_REPO = os.environ.get("PAMICA_NATIVE_REPO", "sccn/pyAMICA")
+_REPO = os.environ.get("PAMICA_NATIVE_REPO", "sccn/pAMICA")
 _ENV_BINARY = "PAMICA_NATIVE_BINARY"
 _ENV_CACHE = "PAMICA_NATIVE_CACHE"
 

diff --git a/paper.md b/paper.md
@@ -47,7 +47,7 @@ a single-model output file is byte-identical in layout to a native AMICA file an
 and multi-model output round-trips through the same loader. Correctness is defined as parity with the Fortran reference for the single-model case and, because multi-model AMICA is not partition-identifiable, as a similar distribution of solutions for the multi-model case;
 both are validated on real EEG against the reference binary.
 A minimal example is a scikit-learn-style call, `AMICA(n_models=1, n_mix=3).fit(X)` on a `(channels, samples)` array (full workflow in the README).
-The software is at <https://github.com/sccn/pyAMICA> (archived at doi:10.5281/zenodo.21312148).
+The software is at <https://github.com/sccn/pAMICA> (archived at doi:10.5281/zenodo.21312148).
 
 # Statement of need
 
@@ -136,7 +136,7 @@ The correctness harness compares `pamica` against Fortran with two metrics, Hung
 the multi-model and score-function checks need no external download (bundled sample only).
 The full per-channel and multi-model performance tables, the per-run Amari-distance detail,
 and the data-size sweep, along with the step-by-step commands to reproduce every number here,
-are in the documentation (<https://eeglab.org/pyAMICA/guides/validation/>).
+are in the documentation (<https://eeglab.org/pAMICA/guides/validation/>).
 
 # State of the field
 

diff --git a/paper.pdf b/paper.pdf
diff --git a/pyproject.toml b/pyproject.toml
@@ -51,8 +51,8 @@ docs = [
 viz = ["mne>=1.6"]
 
 [project.urls]
-Homepage = "https://github.com/sccn/pyAMICA"
-Repository = "https://github.com/sccn/pyAMICA"
+Homepage = "https://github.com/sccn/pAMICA"
+Repository = "https://github.com/sccn/pAMICA"
 
 [tool.setuptools]
 # List subpackages explicitly so the wheel is deterministic across platforms