Brain-machine interfaces (BMIs) leverage neural activity to control external effectors – from cursors on two-dimensional screens to artificial limbs with many degrees of freedom. Best known for their use in neuroprosthetics, BMIs provide a powerful tool for basic neurobiological research by enabling experimental control over otherwise inaccessible neural and behavioural parameters.
We are excited to announce a student-organised full-day symposium titled Neural Interfaces for Neurobiological Insights to learn about and discuss how BMIs can help us understand the possibilities and constraints of neural function.
The symposium will be hosted on Crowdcast.
Register here and follow us on Twitter to keep up to date with further details.
10:00-10:50 Juan Gallego, Imperial College London
11:10-12:00 Tamar Makin and Danielle Clode, UCL
12:40-13:30 Kelly Clancy, DeepMind
13:30-13:50 Dan Wetmore, Facebook Reality Labs
13:50-14:50 PhD Student talks
14:50-15:40 Aaron Batista, University of Pittsburgh
16:00-16:50 Amy Orsborn, University of Washington
17:10-18:00 Edward Chang, University of California, San Francisco
18:00-18:10 Closing remarks
*all timings in BST (UTC+1)
SWC/Gatsby Systems Seminars Team
The Systems Seminars series is organized jointly by PhD students of the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the Gatsby Computational Neuroscience Unit of UCL. We host an annual discussion-based event which aims to bring together neuroscience researchers from the UK and abroad to engage with current and future problems in neuroscience.