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: | GPU estimation of computational models of the impact of attention on simple choice | ||||||||
| Discipline: | Computer Science | ||||||||
| Mentor: | Antonio Rangel, Bing Prof. of Neuroscience & Economics, (HSS), arangel@caltech.edu | ||||||||
| Mentor URL: | http://www.rnl.caltech.edu (opens in new window) | ||||||||
| Background: | Cognitive neuroscientists have developed computational models of how visual fixations influence the computation and comparison of the values of options at the time of choice. These models can provide highly accurate predictions about the effect of attention on choices and reaction times, once a small number of free parameters is fit using out-of-sample data. Fitting these parameters is computationally very costly and takes too long with existing software, which has impeded research in this area. | ||||||||
| Description: | This project involves building a tool box for estimating the free parameters of the attentional Drift Diffusion Model of simple choice using GPUs. In particular, the toolbox will adapt and optimize an existing algorithm to take advantage of the computational capabilities of GPUs. The project will also involve building a simple website to document how to use the toolbox. | ||||||||
| References: |
https://doi.org/10.1038/nn.2635 https://www.rnl.caltech.edu/publications/pdf/tavares2017.pdf |
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| Student Requirements: |
Required: CS 2, sufficient previous experience programming GPUs Suggested: CS3, CS4, CS11, CS38, CS130, CS 132 |
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| Programs: |
This AO can be done under the following programs:
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