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University of Cambridge, Department of Engineering
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Schedule
Tuesday, November 30, 2021
5:00 PM Europe/London
Seminar location
No geocoded details are available for this content yet.
Format
Past Seminar
Recording
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Host
CamBRAIN Virtual Journal Club
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In modern neuroscience, we often want to extract information from recordings of many neurons in the brain. Unfortunately, the activity of individual neurons is very noisy, making it difficult to relate to cognition and behavior. Thankfully, we can use the correlations across time and neurons to denoise the data we record. In particular, using recent advances in machine learning, we can build models which harness this structure in the data to extract more interpretable signals. In this talk, we present two such methods as well as examples of how they can help us gain further insights into the neural underpinnings of behavior.
Marine Schimel & Kris Jensen
University of Cambridge, Department of Engineering
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