Machine Learning in Auditory Neuroscience
Published in Journal of Neuroscience, 2018
- When: 2016 - 2019
- Where: Computational Sensorimotor Systems Laboratory (CSSL), University of Maryland, College Park, MD, US
In this project, machine learning is used to find insights of auditory neuroscience recordings.
Implicit memory
| Pupillometry Tracking | Pupillometry Statistics |
|---|---|
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Efficient coding
Publications
- Kai Lu, Wanyi Liu, Kelsey Dutta, Peng Zan, Jonathan B Fritz, and Shihab A. Shamma. Adaptive Efficient Coding of Correlated Acoustic Properties. Journal of Neuroscience, 39(44):8664–8678, 2019.
- Kai Lu, Wanyi Liu, Peng Zan, Stephen V. David, Jonathan B Fritz, and Shihab A. Shamma. Implicit Memory for Complex Sounds in Higher Auditory Cortex of the Ferret. Journal of Neuroscience, 38(46):9955–9966, 2018.