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pouya bashivan
@PouyaBashivan
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Proud husband & dad | Assistant Prof @McGillPhysioloG | member @IPNMcGill @MILAMontreal | studying deep artificial/biological neural nets
Montreal, QC
Joined October 2012
How do RNNs encode and maintain high dimensional visual information to perform memory-dependent tasks? Checkout the new paper led by PhD student @xiaoxuan_lei (NeurIPS2024) with @taku_ito1
🌟 New Research Alert! 🌟 Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @taku_ito1 and @PouyaBashivan
#tweeprint below:
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If you’re at NeurIPS, Check out @xiaoxuan_lei poster on representational geometry in RNN models of working memory using natural sensory inputs!
📌 Poster Session: ⏰ When: TODAY, Thu, Dec 12, 4:30 p.m. – 7:30 p.m. PST 📍 Where: East Exhibit Hall A-C, #3705 📄 What: Geometry of Naturalistic Object Representations in Recurrent Neural Network Models of Working Memory Hope to see you there! @PouyaBashivan @taku_ito1
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RT @ShahabBakht: This is a great opportunity to secure funding for postdoc. My lab has a few research directions that align with the IVAD…
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@ItsNeuronal the push for ranking models is driven, least in part, by the need to offer the non-experts in the community the most effective option. But in general I agree with your perspective
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RT @Mila_Quebec: Mila's annual supervision request process opens on October 15 to receive MSc and PhD applications for Fall 2025 admission!…
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RT @ShahabBakht: I’ll be recruiting 1-2 graduate students for Fall 2025 to work on visual learning generalization in humans and artificial…
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RT @Yoshua_Bengio: @HopfieldJohn and @geoffreyhinton, along with collaborators, have created a beautiful and insightful bridge between phys…
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10/ Kudos to very talented undergraduate student @qianxinyu8 together with @great_caster and Asa Borzabadifarahani Check out the paper for more details and analyses (code coming soon)!
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