Add new project types

docs/source/index.md

@@ -10,30 +10,46 @@ The NIU is dedicated to the development of high quality, accurate, robust, easy
 ::::{grid} 1 2 2 3
 :gutter: 3
 
-:::{grid-item-card} {fas}`brain;sd-text-danger` Neuroanatomy
+:::{grid-item-card} {fas}`brain;sd-text-primary` Neuroanatomy
 :img-top: _static/neuroanatomy_card.png
 :link: projects/neuroanatomy
 :link-type: doc
+:::
 
-Tools for analysing neuroanatomical data.
+:::{grid-item-card} {fas}`video;sd-text-primary` Behaviour
+:img-top: _static/behaviour_card.png
+:link: projects/behaviour
+:link-type: doc
 :::
 
-:::{grid-item-card} {fas}`database;sd-text-warning` Data Management
-:img-top: _static/SWC-BIDS_card.png
-:link: projects/data_management
+:::{grid-item-card} {fas}`bolt;sd-text-primary` Electrophysiology
+:img-top: _static/electrophysiology_card.png
+:link: projects/electrophysiology
 :link-type: doc
+:::
 
-Tools to help with structuring project folders and transferring data between computers.
+:::{grid-item-card} {fas}`database;sd-text-primary` Data Management
+:img-top: _static/data-management_card.png
+:link: projects/data_management
+:link-type: doc
 :::
 
 :::{grid-item-card} {fas}`code;sd-text-primary` Developer Tools
 :img-top: _static/dev-tools_card.png
 :link: projects/developer_tools
 :link-type: doc
-
-Tools to help with software development.
 :::
 
+[//]: # (:::{grid-item-card} {fas}`handshake;sd-text-primary` Collaborations)
+
+[//]: # (:img-top: _static/collaborations_card.png)
+
+[//]: # (:link: projects/collaborations)
+
+[//]: # (:link-type: doc)
+
+[//]: # (:::)
+
 ::::
 
 ```{toctree}

docs/source/projects/behaviour.md

@@ -0,0 +1,10 @@
+# Behaviour
+
+## movement
+[movement](https://movement.neuroinformatics.dev/) aims to **facilitate the study of animal behaviour in neuroscience** by providing a suite of **Python tools to analyse body movements** across space and time.
+
+At its core, movement handles trajectories of *keypoints*, which are specific body parts of an *individual*. An individual's posture or *pose* is represented by a set of keypoint coordinates, given in 2D (x,y) or 3D (x,y,z). The sequential collection of poses over time forms *pose tracks*. In neuroscience, these tracks are typically extracted from video data using software like [DeepLabCut](http://www.mackenziemathislab.org/deeplabcut) or [SLEAP](https://sleap.ai/).
+
+With movement, our vision is to present a consistent interface for pose tracks and to analyse them using modular and accessible tools. We aim to accommodate data from a range of pose estimation packages, in 2D or 3D, tracking a single or multiple individuals. The focus will be on providing functionalities for data cleaning, visualisation and motion quantification.
+
+While movement isn't designed for behaviour classification or action segmentation, it may extract features useful for these tasks. We are planning to develop separate packages for this purpose, which will be compatible with movement and the existing ecosystem of related tools.

docs/source/projects/collaborations.md

@@ -0,0 +1,5 @@
+# Collaborations
+
+## UNLE
+
+We have collaborated with Gatsby researcher Pierre Glasser in the productionasation of the UNLE package. UNLE (unnormalised neural likelihood estimation) provide two new methods for simulation-based inference (SBI), a form of Bayesian inference on the outputs of high-fiedelity simulators of natural phenomenon.

docs/source/projects/developer_tools.md

@@ -6,7 +6,7 @@ Below is a selection of the development tools we use and maintain in the Neuroin
 
 The Python Cookiecutter template allows quick and easy setup of new python projects. 
 Projects built using this template contain pre-set configurations for code quality checks, formatting, 
-automated testing (pytest, both locally and through GitHub Actions), versioning and release on PyPi.
+automated testing (pytest, both locally and through GitHub Actions), versioning and release on PyPI.
 
 <div class="sd-container-fluid sd-sphinx-override sd-mb-4 docutils">
     <div class="sd-row sd-row-cols-2 sd-row-cols-xs-2 sd-row-cols-sm-2 sd-row-cols-md-2 sd-row-cols-lg-2 docutils">
@@ -27,7 +27,7 @@ automated testing (pytest, both locally and through GitHub Actions), versioning
 ## Fancylog
 
 Fancylog is a tool that provides a convenient interface for python logging operations, including logging
-when multiprocessing, logging information about the git environment, command-line arguments and object attributes.
+when multiprocessing, logging information about the git environment, command-line arguments, and object attributes.
 
 
 <div class="sd-container-fluid sd-sphinx-override sd-mb-4 docutils">
@@ -44,4 +44,26 @@ when multiprocessing, logging information about the git environment, command-lin
             </p>
         </div>
     </div>
+</div>
+
+## Actions
+
+The actions repository hosts reliable, maintained and versioned [GitHub Actions](https://github.com/features/actions) 
+workflows for common tasks such as linting, testing, and releasing Python projects to PyPI.
+
+
+<div class="sd-container-fluid sd-sphinx-override sd-mb-4 docutils">
+    <div class="sd-row sd-row-cols-2 sd-row-cols-xs-2 sd-row-cols-sm-2 sd-row-cols-md-2 sd-row-cols-lg-2 docutils">
+        <div class="sd-col sd-d-flex-column sd-col-auto sd-col-xs-auto sd-col-sm-auto sd-col-md-auto sd-col-lg-auto docutils">
+            <p class="sd-text-left">
+                <a class="sd-sphinx-override sd-btn sd-text-wrap sd-btn-primary sd-shadow-sm reference external" href="https://github.com/neuroinformatics-unit/actions" target="_blank">
+                    <span>
+                        GitHub   
+                        <span class="fab fa-github">
+                        </span>
+                    </span>
+                </a>
+            </p>
+        </div>
+    </div>
 </div>

docs/source/projects/electrophysiology.md

@@ -0,0 +1,9 @@
+# Electrophysiology
+
+## spikewrap
+
+[Spikewrap](https://github.com/neuroinformatics-unit/spikewrap) is a tool to simplify the execution and visualisation of extracellular electrophysiology pre-processing and spike-sorting pipelines. Taking input organised to our [NeuroBlueprint](https://neuroblueprint.neuroinformatics.dev) standard, it will provide a flexible way to process an entire project's electrophysiological data with an easy-to-use interface.
+
+Under the hood Spikewrap utilises the power of [SpikeInterface](https://spikeinterface.readthedocs.io/en/latest/), an open-source tool with many contributors in the electrophysiology analysis field. Spikewrap aims to abstract away the implementation details to allow researchers to test different pipeline configurations with the click of a button. 
+
+We actively contribute to the development of SpikeInterface, ensuring that our efforts benefit existing community projects. 

docs/source/projects/index.md

@@ -6,6 +6,8 @@ At the NIU we undertake several projects, listed below.
 :maxdepth: 2
 
 neuroanatomy
+behaviour
+electrophysiology
 data_management
 developer_tools
 ```