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Changelog

All notable changes to BindsNET are documented here. The format is based on Keep a Changelog. For releases prior to the entries below, see the GitHub releases / tags.

[Unreleased]

Added

  • Reproducibility/transparency docs: DATA.md (dataset & stimulus declaration), REPRODUCING.md (model→script→command→seed map), and a docs/source/models_spec.rst neural-model specification page.
  • CITATION.cff with the paper citation and the Zenodo software DOI.
  • CHANGELOG.md.
  • examples/breakout/README.md documenting the trained_shallow_ANN.pt provenance.

Changed

  • README Python requirement aligned to >=3.11,<3.14; added a reproducible-install note.
  • pyproject.toml version bumped to 0.3.4 to match the released tag.

[0.3.4] - 2026-06-15

Archived on Zenodo — concept DOI 10.5281/zenodo.20695115, version DOI 10.5281/zenodo.20695116.

Added

  • Sparse-tensor support for additional learning rules (plus a batch dimension and docs for sparse=True).
  • Validation tests for the reward-modulated learning rules MSTDP and MSTDPET.
  • Regression test for a preallocated Monitor short-run bug (PR #761).
  • Read the Docs configuration for documentation builds.

Changed

  • assign_labels / evaluation: handle abstention for inactive samples, mark never-firing neurons with -1, and accuracy/performance improvements.
  • CI: dropped Python 3.10 (project requires >=3.11); upgraded GitHub Actions; test on Python 3.11/3.12/3.13.
  • Routine dependency updates via Poetry.

Fixed

  • bernoulli_loader now honors the max_prob kwarg (PR #743).
  • Bug with preallocated buffers and torch.cat.
  • torch.save compatibility for PyTorch 2.6.0.
  • Python 3.13 support / tests.
  • eth_mnist example.

[0.3.3] - 2024-10-18

Baseline for this changelog. See the releases page for the history of 0.1.x–0.3.3.