Dendrify 2.2.0 update

Version 2.2.0

* New Feature: dSpike Playground
  Introducing a new graphical tool for interactively visualizing, exploring,
  and calibrating dendritic spikes in Dendrify.

* New Functionality: Model Customization
  Users can now fully customize the built-in models by adding new equations,
  replacing existing ones, and introducing new parameters.

* Installation
  By default, Dendrify now installs the latest versions of Brian 2,
  Matplotlib, and NetworkX.

* Documentation Improvements
  Key updates include:

  - Fixed a bug that prevented tutorials from rendering correctly.
  - Added new tutorials and examples.
  - Child classes now inherit documentation from parent classes.
  - Introduced a new section Known_issues.
  - Numerous aesthetic and language enhancements.

Dendrify 2.1.5 update

Version 2.1.5

* Ensured compatibility with Brian 2.7.1.
* Improved tutorials and documentation

Update to version 2.1.4

Version 2.1.4

* Fixed a bug that raised an error when config_dspikes was called multiple times
  to configure different dSpike types. Thank you Tim Bax for discovering and
  reporting this issue.
* Checked compatibility with Brian 2.7.0.
* Added package metadata (e.g. dendrify.__version__ works now).
* Minor documentation improvements.

Dendrify 2.1.3 update

Version 2.1.3

* Changed package requirements to fix installation conflicts with Brian 2.6.0.

Dendrify 2.1.2 update

Release notes

• Fixed a bug that could cause the wrong estimation of a somatic compartment's surface area.
• Other minor improvements.

Dendrify 2.1.1 update

Release notes

• A minor release to fix some bugs introduced by VS code auto-formatting.

Dendrify 2.1.0 update

Release notes:

• Changed the order of dSpikes thresholding to be more compatible with other Brian 2 objects and increase overall simulation stability.

• Added the cadIF model as an option to PointNeuronModel.

• Completely redesigned the Library section of the documentation and added more mathematical descriptions for the all built-in Dendrify models.

• Added many new code examples.

• Minor improvements in the source code for better readability and maintainability.

Dendrify 2.0.1 update

Added Integrate-and-Fire with conductance based adaptation (cadIF) model.

Dendrify 2.0 release

• New and improved implementation of dendritic spikes.
• New PointNeuronModel class for creating point-neuron models.
• New way for specifying the electrophysiological properties of neurons.
• Significantly improved error catching and exception handling.
• Fixed compatibility issues with Jupyter notebooks.
• More stable and robust code overall.
• Added tutorials and code examples.
• Improved documentation page.
• Added a support e-mail address.
• Many minor improvements, bug fixes and quality of life improvements.
• New logo.

Special thanks to Marcel Stimberg, Spyros Chavlis, Nikos Malakasis, Christos Karageorgiou Kaneen and Elisavet Kapetanou for their valuable feedback and suggestions for improving Dendrify.

v1.0.9

Update publish-to-pypi.yml (#26)