Merge pull request #32 from main-educational/iss31

Iss31
main-educational · Oct 2, 2024 · 739bf9c · 739bf9c
2 parents 8e5fcde + 5db4685
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diff --git a/content/_toc.yml b/content/_toc.yml
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 format: jb-book
 root: intro
 chapters:
-- file: speakers
+- file: schedule
 - file: program
-- file: material
 - file: venue
 - file: organizers
 - file: CoC
 - file: installation
+- file: past
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 ![](./banner.jpeg)
 
 :::{note}
-**The event has now passed. You can find the videos and code for all sessions in the material section.**
+**Registration for the event are now open on [eventbrite](https://www.eventbrite.ca/e/main-2024-tickets-999609949267). Note that the program is still preliminary and may be subject to change**
 :::
 
-The educational workshop is organized by the [UNIQUE](https://www.unique.quebec/) NeuroAI center as part of the Montreal Artificial Intelligence and Neuroscience (MAIN) 2022 [conference](https://www.main2022.org/). This is an hybrid event, with the vast majority of the presentations happening in-person and streamed online. Some speakers will present online only. There are two parallel tracks running over two days:
-1. **AI for Neuro**: an introduction of fundamental concepts in machine learning and deep learning to train artificial neural networks, and how they can be applied to neuroscience data;
-2. **Neuro for AI**: an introduction to fundamental techniques for cognitive neuroscience, such as calcium imaging, electro- and magneto-encephalography as well as magnetic resonance imaging, and how to connect these data in an AI workflow.
+The educational workshop is organized by the [UNIQUE](https://www.unique.quebec/) NeuroAI center as part of the Montreal Artificial Intelligence and Neuroscience (MAIN) 2024 [conference](https://www.main2024.org/). This is an in person event.
 
-The educational material also covers some major neuroAI applications, such as automated diagnosis and prognosis of brain disorders (**brain biomarkers**); identifying cognitive states based on brain activity (**brain decoding**); and predicting brain activity based on the activity of an artificial neural network (**brain encoding**).
+The morning includes two parallel tracks with neuroAI primers on machine learning and neuroimaging. The afternoon features parallel sessions on two foundational techniques for neuroAI: brain decoding and representional similarity analysis. Finally, two keynote tutorials will introduce recent neuroAI applications: in-silico neuroimaging experiments and foundation models for modelling movement. 
 
-The workshop features both theoretical lectures as well as hands-on tutorial using the Python language. You will be required to bring a laptop and install software prior to the workshop. In-person registration is limited to 90 participants, with no limit for the number of online participants. Coffee and lunch will be offered onsite. 
+You will be required to bring a laptop and install software prior to the workshop. Coffee, snack and lunch will be offered onsite.
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