Dendrify

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* 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.

v.2.1.5

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

v.2.1.4

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* 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.

v.2.1.3

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

v.2.1.2
**Release notes**
- Fixed a bug that could cause the wrong estimation of a somatic compartment's surface area.
- Other minor improvements.

v.2.1.1
**Release notes**

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

v.2.1.0
**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.

v.2.0.1
Added Integrate-and-Fire with conductance based adaptation (cadIF) model.

v.2.0.0
- 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.