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Trends in NeuroAI - Unified Scalable Neural Decoding (POYO)

Thursday 00:00–01:00 New York (GMT-5)

Ended

Online

Abstract

Lead author Mehdi Azabou will present on his work "POYO-1: A Unified, Scalable Framework for Neural Population Decoding" (https://poyo-brain.github.io/).

Mehdi is an ML PhD student at Georgia Tech advised by Dr. Eva Dyer.

Paper link: https://arxiv.org/abs/2310.16046

Trends in NeuroAI is a reading group hosted by the MedARC Neuroimaging & AI lab (https://medarc.ai/fmri | https://groups.google.com/g/medarc-fmri).

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