Small rewrites for community, getting started, resources.

docs/source/ephys_at_swc/community.md

@@ -8,7 +8,7 @@ Please don't hesitate to contact us
 For information and advice on electrophysiology from the SWC community, the
 best place to go is the `#forum-extracellular-ephys` channel on the SWC Slack.
 
-Outside the SWC, you can address any questions or issues for
+Outside the SWC, you can address any questions or issues about
 [SpikeInterface](https://github.com/SpikeInterface)
 by raising an issue on their
 [GitHub repository](https://github.com/SpikeInterface/spikeinterface/issues).

docs/source/ephys_at_swc/getting_started.md

@@ -1,10 +1,11 @@
 # Getting Started
 
-Getting started with extracellular electrophysiology can be intimidating!
-With numerous acquisition setups, software packages, preprocessing, postprocessing,
-and analysis steps to consider, it's understandable to feel daunted.
+With the numerous acquisition setups, software packages, preprocessing, postprocessing,
+and analysis steps to consider, how to get started with extracellular electrophysiology
+is not always clear.
 
-A good first step in getting started is to ask for advice. Every setup
+A good first step is to ask for advice around your particular 
+experimental setup and research question. Every setup
 and experiment is different, and it's often most effective to
 seek guidance early on. See the [Community](community)
 sections for details on where to get help.
@@ -14,11 +15,11 @@ for the history and landscape of extracellular electrophysiology.
 See the resources section for [general introductions](#general-introduction)
 as well as more technical reading for deeper background.
 
-INTRODUCE SPIKEINTERFACE
-
-To get started with pipeline building, the
-[SpikeInterface](#spikeinterface) resources are a good starting point.
-We also have
+For preprocessing and spike sorting, we recommend 
+[SpikeInterace](https://github.com/SpikeInterface/spikeinterface),
+an open source community toolkit for extracellular electrophysiology. To get 
+started with pipeline building, the
+[SpikeInterface](https://spikeinterface.readthedocs.io/en/stable/) 
+documentation is a good starting point. We also have
 [Examples](gallery/index)
-from researchers at the
-SWC who'd be happy to answer any questions you might have.
+from researchers at the SWC who'd be happy to answer any questions you might have.

docs/source/ephys_at_swc/resources.md

@@ -1,6 +1,6 @@
 # Resources
 
-This section provides articles and videos providing
+This section includes articles and videos providing
 background and technical detail on extracellular
 electrophysiology data preprocessing and analysis.
 
@@ -23,25 +23,25 @@ and overview of the extracellular electrophysiology landscape:
 
 ## Technical Introduction
 
-Below are more technical resources on the different stages of
+This section includes more technical resources on the different stages of
 extracellular electrophysiology analysis.
 
 A particularly useful resource is the
 [Neuropixels](https://www.ucl.ac.uk/neuropixels/courses) course, with their videos published online
 (e.g. [2023](https://www.ucl.ac.uk/neuropixels/training/2023-neuropixels-course)).
-While these are particularly useful for Neuropixels users, they are
-useful resources for any researcher
+While these are targeted towards for Neuropixels users, they are
+valuable resources for any researcher
 approaching electrophysiology preprocessing and analysis.
 
 ### Preprocessing
 
 The [IBL white paper](https://figshare.com/articles/online_resource/Spike_sorting_pipeline_for_the_International_Brain_Laboratory/19705522)
-contains a clearly written overview of preprocessing steps. Similarly,
-[Bill Karsh's guide](https://billkarsh.github.io/SpikeGLX/help/catgt_tshift/catgt_tshift/) on the
-SpikeGLX website also gives a useful overview.
+contains a clearly written overview of common preprocessing steps. Similarly,
+[Bill Karsh's guide](https://billkarsh.github.io/SpikeGLX/help/catgt_tshift/catgt_tshift/) on 
+SpikeGLX preprocessing tools gives a useful overview.
 
 [de Cheveigné & Nelken (2019)](https://pubmed.ncbi.nlm.nih.gov/30998899/)
-provide a more technical treatment of digital filtering, a key step in preprocessing and analysis.
+provide a technical treatment of digital filtering, a key step in preprocessing and analysis.
 
 ### Spike Sorting
 
@@ -85,21 +85,19 @@ in their documentation.
 Visit the SpikeInterface
 [GitHub](https://github.com/SpikeInterface/spikeinterface)
 and
-[Documentation](https://spikeinterface.readthedocs.io/en/latest/index.html)
-to get started. Note their documentation currently points to the developer
-version, select your installed version from the list at the bottom-left
-of the page.
+[Documentation](https://spikeinterface.readthedocs.io/en/stable/)
+to get started.
 
 ## Other Community Tools
 
 ### Analysis
 
 SpikeInterface
 is mainly focused on preprocessing, spike sorting and quality metrics.
-[Pynapple](https://github.com/pynapple-org/pynapple)
-and
-[Elephant]( https://neuralensemble.org/elephant/)
-both provide nice toolboxes for analysing data post-sorting.
+[Pynapple](https://github.com/pynapple-org/pynapple), 
+[Elephant]( https://neuralensemble.org/elephant/),
+and [Nemos](https://github.com/flatironinstitute/nemos)
+all provide nice toolboxes for analysing data post-sorting.
 
 The [SpikeForest](https://spikeforest.flatironinstitute.org/)
 project is an excellent resource for assessing the performance of
@@ -111,5 +109,5 @@ different spike-sorting algorithms across probe types and brain regions.
 
 [The IBL sorting pipeline](https://github.com/int-brain-lab/ibl-neuropixel)
 
-[Neuropixels Utils](https://djoshea.github.io/neuropixel-utils/) package
-(MATLAB) and related [NeuroPyxels](https://github.com/m-beau/NeuroPyxels).
+For working with NeuroPixels, [Neuropixels Utils](https://djoshea.github.io/neuropixel-utils/) package
+(MATLAB) and [NeuroPyxels](https://github.com/m-beau/NeuroPyxels) (Python).