Finding needles in the neural haystack: unsupervised analyses of noisy data
- đ¤ Speaker: Marine Schimel, Kris Jensen, Department of Engineering
- đ Date & Time: Wednesday 01 December 2021, 17:00 - 18:00
- đ Venue: Zoom
Abstract
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.
Series This talk is part of the CamBRAIN Virtual Journal Club series.
Included in Lists
- Biology
- CamBRAIN Virtual Journal Club
- Cambridge Neuroscience Seminars
- Cambridge talks
- Chris Davis' list
- dh539
- dh539
- Featured lists
- Life Science
- Life Sciences
- Neuroscience
- Neuroscience Seminars
- Neuroscience Seminars
- Stem Cells & Regenerative Medicine
- Zoom
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)

Marine Schimel, Kris Jensen, Department of Engineering
Wednesday 01 December 2021, 17:00-18:00