Program

December 9th

Morning sessions

08:00 EST - 09:00 EST Registration, snack and coffee

09:00 EST - 09:10 EST Welcome

09:15 EST - 12:00 EST Parallel sessions. Note a break from 10:30 EST to 10:45 EST with coffee and snack provided onsite.

Nikhil Bhagwat (atrium)

Introduction to supervised learning using scikit-learn.

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Hao-Ting Wang and Yasmin Mzayek (amphitheater)

Machine learning in functional MRI using Nilearn

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Afternoon sessions

12:00 EST - 13:00 EST Lunch (provided onsite)

13:00 EST - 14:00 EST Keynote lecture (amphitheater)

Patrick Mineault - What’s the endgame of neuroAI?

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14:15 EST - 17:00 EST Parallel sessions. Note a break from 15:30 EST to 15:45 EST with coffee and snack provided onsite.

Mohammad Yaghoubi, Thomas Jiralerspong and Krystal Pan (amphitheater)

Introduction to deep learning using pytorch.

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Quinn Lee and Giuseppe Pietro Gava (atrium)

Calcium imaging and electrophysiological time series in freely-behaving animals

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December 10th

Morning sessions

08:30 EST - 09:00 EST Snack and coffee

09:00 EST - 12:00 EST Parallel sessions. Note a break from 10:30 EST to 10:45 EST with coffee and snack provided onsite.

Jérôme Dockès (online - streamed in atrium)

Model selection and validation using scikit-learn.

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Alex Gramfort (online - streamed in amphitheater)

Introduction to electro- and magneto-encephalography data analysis with MNE-python.

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Afternoon sessions

12:00 EST - 13:00 EST Lunch (provided onsite)

13:00 EST - 14:00 EST Keynote lecture (online - streamed in amphitheater)

Elizabeth Dupre - Aligning representations in brain and machines

14:15 EST - 17:00 EST Parallel sessions. Note a break from 15:30 EST to 15:45 EST with coffee and snack provided onsite.

Peer Herholz, Bertrand Thirion and Shima Rastegarnia (amphitheater)

Introduction to brain decoding in fMRI

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Isil Bilgin, Alexandre Pasquiou and Pravish Sainath (atrium)

Introduction to brain encoding in fMRI

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