With the rapid development of large-scale neural recording technologies, there is a need for modern statistical methods to dissect and interpret neural recordings. Byron Yu will describe how dimensionality reduction and related methods can be applied to large-scale neural recordings to provide new insights about brain function. He will also discuss the benefits of quantitative and experimental scientists working together at every stage of the scientific process: from experimental conception and design, to data analysis, to development of new statistical tools, and beyond.
This was selected as a part of the Neuroscience 2022 programming.
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I have other questions not answered here. Email firstname.lastname@example.org with any other questions.
Review SfN’s Code of Conduct, rules for virtual events in the Digital Learning Community Guidelines, and communications policies regarding dissemination of unpublished scientific data, listed below. SfN asks that conference attendees respect the sensitivity of information and data being presented that are not yet available to the public by following these guidelines:
- Do not capture or publicly share details of any unpublished data presented.
- If you are unsure whether data is unpublished, check with the presenter.
- Respect presenters' wishes if they indicate that the information presented is not to be shared.
Webinar Refund Policy
What is the cancellation/refund policy for webinars?
If SfN changes fundamental details of the webinar (date, time, or speakers), non-member registrants may request a registration refund. To request a refund, please email email@example.com at least 48 hours before the event. Otherwise, refunds are not provided. All webinars are complimentary to SfN members.
SfN webinars can be watched on-demand if someone is unable to attend the live broadcast.