clean up

paper.md

@@ -155,7 +155,7 @@ HNN-core functionality supports advanced simulations through scripting that are
 
 HNN-core code has also enabled the creation of a new and improved web-based GUI based on ipywidgets [@ipywidgets2015] and voila [@voila2019] that can be run remotely with port forwarding.
 
-All of the code associated with HNN-core has been extensively documented at multiple levels,  including an API describing basic functions/parameters and examples of  use for hypothesis generation and/or testing. Specifically, we distribute [tutorials](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/index.html) that mimic the original GUI tutorial workflows using HNN-core functions, with commentary on the known biophysical mechanisms of these signals. The HNN-core tutorials include examples of how to simulate [ERPs](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_evoked.html#sphx-glr-auto-examples-workflows-plot-simulate-evoked-py), as well low frequency rhythms such as [alpha](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_alpha.html#sphx-glr-auto-examples-workflows-plot-simulate-alpha-py) (8-10 Hz), [beta](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_alpha.html#sphx-glr-auto-examples-workflows-plot-simulate-alpha-py) (15-30 Hz), and [gamma](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_gamma.html#sphx-glr-auto-examples-workflows-plot-simulate-gamma-py) (30-0 Hz). The tutorials also include an example of directly comparing simulations to real data, i.e. the [median nerve evoked response](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_somato.html#sphx-glr-auto-examples-workflows-plot-simulate-somato-py). We also provide short and targeted “How to” examples that describe how to use specific functionality, such as [plotting firing patterns](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/howto/plot_firing_pattern.html#sphx-glr-auto-examples-howto-plot-firing-pattern-py), or [recording extracellular LFPs](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/howto/plot_record_extracellular_potentials.html#sphx-glr-auto-examples-howto-plot-record-extracellular-potentials-py).
+All of the code associated with HNN-core has been extensively documented at multiple levels,  including an API describing basic functions/parameters and examples of  use for hypothesis generation and/or testing. Specifically, we distribute [tutorials](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/index.html) that mimic the original GUI tutorial workflows using HNN-core functions, with commentary on the known biophysical mechanisms of these signals. The HNN-core tutorials include examples of how to simulate [ERPs](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_evoked.html#sphx-glr-auto-examples-workflows-plot-simulate-evoked-py), as well low frequency rhythms such as [alpha](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_alpha.html#sphx-glr-auto-examples-workflows-plot-simulate-alpha-py) (8-10 Hz), [beta](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_alpha.html#sphx-glr-auto-examples-workflows-plot-simulate-alpha-py) (15-30 Hz), and [gamma](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_gamma.html#sphx-glr-auto-examples-workflows-plot-simulate-gamma-py) (30-0 Hz). The tutorials also include an example of directly comparing simulations to real data (i.e., the [median nerve evoked response](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/workflows/plot_simulate_somato.html#sphx-glr-auto-examples-workflows-plot-simulate-somato-py)). We also provide short and targeted “How to” examples that describe how to use specific functionality, such as [plotting firing patterns](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/howto/plot_firing_pattern.html#sphx-glr-auto-examples-howto-plot-firing-pattern-py), or [recording extracellular LFPs](https://jonescompneurolab.github.io/hnn-core/stable/auto_examples/howto/plot_record_extracellular_potentials.html#sphx-glr-auto-examples-howto-plot-record-extracellular-potentials-py).
 
 # Use cases and quick example code of running a simulation