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Maryam Shanechi
617 posts
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@MaryamShanechi

Maryam Shanechi

@MaryamShanechi
Sawchuk Chair & Prof @USCViterbi | Founding Director @USC Center for Neurotech | Developing AI/ML methods & BCI to decode the brain & treat its conditions
Los Angeles
nseip.usc.edu
Joined September 2019
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  • Pinned
    @MaryamShanechi
    Maryam Shanechi
    @MaryamShanechi
    Oct 7, 2024
    Excited that our paper made the cover of @NatureNeuro! We developed DPAD, an AI framework for dynamical modeling of neural-behavioral data and dissociating behaviorally relevant neural dynamics. 📜nature.com/articles/s4159… 💻github.com/ShanechiLab/DP… 👏@omidsani
    @NatureNeuro
    Nature Neuroscience
    @NatureNeuro
    Oct 4, 2024
    Just in time for #SfN2024, here's our October issue! nature.com/neuro/volumes/…
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  • @MaryamShanechi
    Maryam Shanechi
    @MaryamShanechi
    Jul 27
    Honored to give the opening plenary at IEEE EMBC 2026 conference in Toronto @IEEEembs. We are building the intelligence layer for neurotechnology and BCIs. Human brain foundation models that decode at scale and generalize across individuals, modalities, and brain states.
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  • @MaryamShanechi
    Maryam Shanechi
    @MaryamShanechi
    Jul 7
    🎉 New at #ICML2026, we present WiCAT for cross-subject modeling of widefield calcium imaging, as a key step toward its foundation modeling. WiCAT learns shared brain-wide representations & enables zero-shot behavior decoding. 👏@m_hoseini99 @erayerturkee @iiwavas Paper, Code⬇️
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  • @MaryamShanechi
    Maryam Shanechi
    @MaryamShanechi
    Jun 17
    Excited to lead the AI Core of the Raynor Cerebellum Project @RaynorProject. Our team is developing AI models to move neuromodulation for cerebellar disorders from trial-and-error toward intelligent neurotechnology. Grateful to collaborate with @yisongyue on this. Story⬇️
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  • @MaryamShanechi
    Maryam Shanechi
    @MaryamShanechi
    Dec 4, 2025
    Can we achieve nonlinear multimodal neural fusion while also enabling real-time recursive decoding for #BCI? At #NeurIPS2025, we present MRINE, which does exactly that — improving decoding even for modalities w/ distinct timescales & distributions 👏@erayerturkee 🧵Paper Code⬇️
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