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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
The goal of this symposium is to introduce the Center for Neural Data Science, a collaboration between Stanford Data Science and the Wu Tsai Neurosciences Institute led by Scott Linderman and Laura Gwilliams
We invite Stanford affiliates to join our community of researchers with shared interests in neuroscience and data science. This event will feature talks from Stanford faculty as well as several opportunities to meet and mingle with colleagues. It will kickstart the Center’s smaller and more regular events, including journal clubs and an internal seminar series.
This in-person event is a great chance to connect with fellow researchers and experts in the field of neural data science. Don't miss out on this unique opportunity to learn and collaborate with peers who share your passion for advancing the field.
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Note: Agenda is subject to change
Time | Session |
|---|---|
| 12:00 - 1:00 PM | Lunch and Registration |
| 1:00 - 1:15 PM | Opening Remarks |
| 1:15 - 2:00 PM | Talk by E.J. Chichilnisky Talk Title: Toward harnessing the neural code of the retina for vision restoration and science |
| 2:00 - 2:45 PM | Talk by Kalanit Grill-Spector Talk Title: Understanding the human visual system: From spatiotemporal population receptive fields to topographic deep neural networks |
| 2:45 - 3:15 PM | Break |
| 3:15 - 4:00 PM | Talk by Anne Brunet Talk Title: Quantifying the dynamics of aging |
| 4:00 - 4:45 PM | Talk by Andreas Tolias Talk Title: Foundation models of the brain |
| 4:45 - 5:00 PM | Closing Remarks |
| 5:00 - 6:30 PM | Networking Reception |
