Welcome!#
Hello everyone and welcome to the documentation of the research project “Mental image decoding”, conducted within the MSc5 course Computational Neuroscience at the Goethe University in Frankfurt am Main.
Mental image decoding#
This research report takes you to different steps of the whole research process.
You can use the following sections to navigate through the content of the research report:
Whats happening in this research project?#
Theoretical background & Research question
Why did I choose this specific topic and what has already been discussed regarding mental imagery?
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How did I acquire the data? Where is everything else documented? Is this project FAIR?
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Exploration and further explanation of the data.
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Why should one run a glm in the first place? Which modules did I use?
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What kind of different algorithms did I use? How did it work out?
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Discussion and reflection of the research project.
Google presentation#
In the summer semester 2022, a presentation for this project was created. This presentation depicts the visions I had for this project at the given time. Please follow this link if you are interested in how the project looked in july 2022.
I’ve got a question!#
In case you have any questions or difficulties with the research report, please don’t hesitate a single second to get in touch with me. A great way to do this is to open an issue on the GitHub site of the course. You can of course further
(paulijanos@gmail.com)
Every feedback or idea you might have is highly appreciated and valued.
Acknowledgements#
Huge thanks to Peer Herholz for investing a lot of time to create the fantastic course on computational neuroscience and being almost always available ‘round the clock for questions. To Michael Ernst for maintaing the course and being a great lecturer and Maren Wehrheim for supporting me a lot in the process of setting up the machine learning parts.