Making sense of large-scale neural and behavioral data
Carsen Sringer· Janelia Research Campus
Wed, Jan 11 · 13:00 UTC
Seminars and recordings
Carsen Sringer· Janelia Research Campus
Wed, Jan 11 · 13:00 UTC
Jane Wang· DeepMind
Wed, Dec 14 · 13:00 UTC
Kim Stachenfeld, Raia Hadsell, Blake Richards, Peter Latham· DeepMind, UCL, McGill
Mon, Jul 11 · 12:00 UTC
Grace Lindsay· NYU
Wed, Jun 15 · 13:00 UTC
Kelsey Allen· DeepMind
Wed, Feb 16 · 13:00 UTC
Will de Cothi· UCL
Wed, Nov 17 · 13:00 UTC
Rebecca Jackson· Cambridge
Wed, Oct 13 · 13:00 UTC
Michael Milford· Queensland University of Technology
Wed, Sep 15 · 11:00 UTC
Alexander Terenin· Imperial College
Wed, Jul 14 · 13:00 UTC
Alexander Mathis, Claudia Clopath, Daniel Alexander, Jennifer Collinger
Wed, May 12 · 13:00 UTC · Online
Kim Stachenfeld· DeepMind
Wed, Feb 17 · 13:00 UTC
Benigno Uria· DeepMind
Wed, Jan 13 · 13:00 UTC
Netta Cohen· Leeds University
Wed, Nov 11 · 13:00 UTC
Michael Bronstein· Imperial College London
Wed, Sep 16 · 13:00 UTC
Irina Higgins· Google Deepmind
Wed, Jul 15 · 13:00 UTC
Irina is a research scientist at DeepMind, where she works in the Froniers team. Her work aims to bring together insights from the fields of neuroscience and physics to advance general artificial intelligence through improved representation learning. Before joining DeepMind, Irina was a British Psychological Society Undergraduate Award winner for her achievements as an undergraduate student in Experimental Psychology at Westminster University, followed by a DPhil at the Oxford Centre for Computational Neuroscience and Artificial Intelligence, where she focused on understanding the computational principles underlying speech processing in the auditory brain. During her DPhil, Irina also worked on developing poker AI, applying machine learning in the finance sector, and working on speech recognition at Google Research."" https://arxiv.org/pdf/2006.14304.pdf
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