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Update readme III
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@@ -100,7 +100,7 @@ Just click on the link or the images!
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#### Without installation
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If you want to try out the algorithm, just open **[this online Colaboratory Notebook](https://colab.research.google.com/github/HelmchenLabSoftware/Cascade/blob/master/Demo%20scripts/Calibrated_spike_inference_with_Cascade.ipynb)**, as advertised above. With the Notebook, you can apply the algorithm to existing test datasets, or you can apply **pre-trained models** to **your own data**. No installation will be required since the entire algorithm runs in the cloud (Colaboratory Notebook hosted by Google servers; a Google account is required). The entire Notebook is designed to be easily accessible for researchers with little background in Python, but it is also the best starting point for experienced programmers. The Notebook includes a comprehensive FAQ section. Try it out - within a couple of minutes, you can start using the algorithm!
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If you want to try out the algorithm, just open **[this online Colaboratory Notebook](https://colab.research.google.com/github/HelmchenLabSoftware/Cascade/blob/master/Demo%20scripts/Calibrated_spike_inference_with_Cascade.ipynb)**. With the Notebook, you can apply the algorithm to existing test datasets, or you can apply **pre-trained models** to **your own data**. No installation will be required since the entire algorithm runs in the cloud (Colaboratory Notebook hosted by Google servers; a Google account is required). The entire Notebook is designed to be easily accessible for researchers with little background in Python, but it is also the best starting point for experienced programmers. The Notebook includes a comprehensive FAQ section (also below on this ReadMe). Try it out - within a couple of minutes, you can start using the algorithm!
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#### With a local installation (Ubuntu/Windows)
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