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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

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PyRASA dev

diff --git a/_modules/index.html b/_modules/index.html index 4c6d620..3759108 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -7,7 +7,7 @@ - Overview: module code — PyRASA dev documentation + Overview: module code — PyRASA dev @@ -124,7 +124,7 @@ -

PyRASA dev documentation

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PyRASA dev

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

+

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+

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+

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PyRASA dev documentation

+

PyRASA dev

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PyRASA dev documentation

+

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+

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+

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PyRASA dev documentation

+

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@@ -373,8 +373,8 @@

Run IRASA timeresolved#

-

One of the original features of IRASA was its applicability in the time-frequency domain (Wen & Liu 2016). The authors used this to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see Wen & Liu, 2016). To make this form of analysis more accessible and track aperiodic and periodic changes over time we implemented the irasa_sprint function, -that similarly to the SPRiNT package (Wilson, da Silva Castanheira & Baillet, 2022), enables you to compute periodic and aperiodic spectrograms.

+

In the original IRASA manuscript Wen & Liu (2016) show that the algorithm can be used in the time-frequency domain. The authors used this in a subsequent manuscript to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see Wen & Liu, 2016). To make this form of analysis more accessible +and track aperiodic and periodic changes over time we implemented the irasa_sprint function, that similarly to the SPRiNT package (Wilson, da Silva Castanheira & Baillet, 2022), enables you to compute periodic and aperiodic spectrograms.

[1]:
 
@@ -626,22 +626,6 @@

Run IRASA timeresolved

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[ ]:
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diff --git a/examples/irasa_sprint.ipynb b/examples/irasa_sprint.ipynb index cb82aeb..0e8e8a9 100644 --- a/examples/irasa_sprint.ipynb +++ b/examples/irasa_sprint.ipynb @@ -6,8 +6,8 @@ "source": [ "# Run IRASA timeresolved\n", "\n", - "One of the original features of IRASA was its applicability in the time-frequency domain (Wen & Liu 2016).\n", - "The authors used this to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see [Wen & Liu, 2016](https://doi.org/10.1523/JNEUROSCI.0187-16.2016)). To make this form of analysis more accessible and track aperiodic and periodic changes over time we implemented the irasa_sprint function, that similarly to the SPRiNT package ([Wilson, da Silva Castanheira & Baillet, 2022](https://doi.org/10.7554/eLife.77348)), enables you to compute periodic and aperiodic spectrograms." + "In the original IRASA manuscript Wen & Liu ([2016](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706469/)) show that the algorithm can be used in the time-frequency domain.\n", + "The authors used this in a subsequent manuscript to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see [Wen & Liu, 2016](https://doi.org/10.1523/JNEUROSCI.0187-16.2016)). To make this form of analysis more accessible and track aperiodic and periodic changes over time we implemented the irasa_sprint function, that similarly to the SPRiNT package ([Wilson, da Silva Castanheira & Baillet, 2022](https://doi.org/10.7554/eLife.77348)), enables you to compute periodic and aperiodic spectrograms." ] }, { @@ -320,20 +320,6 @@ "f.tight_layout()" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, diff --git a/genindex.html b/genindex.html index ece945b..8fe5697 100644 --- a/genindex.html +++ b/genindex.html @@ -7,7 +7,7 @@ - Index — PyRASA dev documentation + Index — PyRASA dev @@ -124,7 +124,7 @@ -

PyRASA dev documentation

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PyRASA dev

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[16, 19, 23, 25], "usag": 22, "util": [4, 5, 6, 7, 8, 9, 10, 11, 12], "when": 25, "your": [17, 18, 20, 25]}}) \ No newline at end of file diff --git a/sg_execution_times.html b/sg_execution_times.html index ae28203..0e97666 100644 --- a/sg_execution_times.html +++ b/sg_execution_times.html @@ -8,7 +8,7 @@ - Computation times — PyRASA dev documentation + Computation times — PyRASA dev @@ -125,7 +125,7 @@ -

PyRASA dev documentation

+

PyRASA dev

diff --git a/tutorials.html b/tutorials.html index 14d6b7e..2308384 100644 --- a/tutorials.html +++ b/tutorials.html @@ -8,7 +8,7 @@ - Tutorials — PyRASA dev documentation + Tutorials — PyRASA dev @@ -127,7 +127,7 @@ -

PyRASA dev documentation

+

PyRASA dev