Announcements of Opportunity

SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program. Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor. Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions!
Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor. Announcements for external summer programs are listed here.
*Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.
*Students pursuing opportunities at JPL must be U.S. citizens or U.S. permanent residents.
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Project: | Using AI to Generate Efficient Stimuli for Neurons | ||||||||
Disciplines: | Neuroscience, Computer Science, Electrical Engineering | ||||||||
Mentor: |
Sung Soo Kim,
Assistant Professor of Biology, (BBE),
sungsoo@ucsb.edu, |
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Mentor URL: | https://sungsoo-kim.mcdb.ucsb.edu (opens in new window) | ||||||||
Background: |
NOTE: This project is being offered by a Caltech alum and is open only to Caltech students. The project will be conducted at UC Santa Barbara in Santa Barbara, California. Finding optimal stimuli for neurons has been the main subject of system neuroscience. |
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Description: | Recent studies exploiting artificial neural networks have provided viable ways to infer the optimal sensory stimuli from collected physiological data. This project is to use this framework and write code to infer the optimal stimuli for the neurons that are studied in the lab. | ||||||||
References: |
Sun, Y., et al. (2017). "Neural signatures of dynamic stimulus selection in Drosophila." Nat Neurosci 20(8): 1104-1113. Ponce, C. R., et al. (2019). "Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences." Cell 177(4): 999-1009 e1010. |
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Student Requirements: | Programming, convolutional networks | ||||||||
Programs: |
This AO can be done under the following programs:
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