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SeminarEndedMachine Learning

Trends in NeuroAI - Unified Scalable Neural Decoding (POYO)

Hosted by MedARC NeuroAI Journal Club

· 60 minutes
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).

Topics

More topics
machine learningneural decodingneuroimagingpopulation decodingscalable framework

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