Cebra #92
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Cebra #92
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nastya236
requested changes
Nov 1, 2023
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| ## Cebra | ||
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| One way to perform joint behavioral-neural analysis based on behavioral measurements, is using <a href="https://github.com/AdaptiveMotorControlLab/cebra" target="_blank">Cebra.ai</a>. Classical methods include GLMs, and many other techniques (see below). Please check the documentation for details on [Cebra](https://cebra.ai/docs/usage.html). |
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I think would nice to put some images here with examples like on this page: https://cebra.ai/docs/demos.html but make it more simple. We can describe 4-5 use cases:
input: 2-photon data, behaviour: position
input: 1-photon data, behaviour: velocity
input: 2-photon / np data, behaviour: images
Just to show to people potential concrete user scenarios. Mb it will increase their endeavour to try cebra:)
But! It might be redundant since page with demo notebooks exists already:)
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I think we should focus on 1 use-case in the scope of the course and point out many other combinations are useful. Let's go with the hippocampus or S1 data.
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