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Mathematical Characterization of Virtual Shapes (remote)
IAP and Spring
9: Brain and Cognitive Sciences
Shlomit Ben-Ami (firstname.lastname@example.org) and Pawan Sinha (email@example.com)
This UROP project involves computational work for synthesizing virtual shapes based on mathematical characterizations. The challenge in this project is the definition of an algorithm by which similarity between different shapes can be quantified and adjusted. Subset of these shapes will eventually be used as stimuli for a perceptual learning study. This shape design project is a small-scope computational project within a broader experimental project of clinical significance. The overall goal of the broad project, in collaboration with The Minducate Science of Learning Research and Innovation Center and Project Prakash, is to addresses the need for developing research-driven rehabilitation to improve learning of visual shapes and patterns in individuals with perceptual difficulties. We are building an experiment to investigate the plasticity of visual recognition through motor training. The project will involve coding with mostly R, Matlab and/or Python. The UROP student will contribute to the computational design of these stimuli, which subjects will later be asked to visually discriminate while being scanned in an fMRI machine, before and after receiving motor training with these shapes. This will help us examine the interplay between motor and visual feedback for perceptual learning. If the experimental interventions prove useful in healthy subjects, they will be applied to assess the developmental progression of recovering visuo-spatial skills after sight onset in patients receiving sight-restoring cataract-removal surgery in India, and to train those skills. The student will work remotely in contact with a post-doc and PhD student in the lab, and with Prof. Sinha as a supervisor. After creation of stimuli, if the student chooses to stay on, they will have substantial opportunity to navigate their continued role, according to desired level of involvement and their interest in learning experimental design and data analysis. For example, the student can choose to be involved in designing, running and/or analyzing online experiments for testing the created visual stimuli. Involvement with data analysis of tracing movements and fMRI optional as well. This position is available for pay or credit.
The ideal candidate will have strong analytical skills and some programing experience working with Matlab and/or Python and/or R. Advantage for being able to continue work during summer with a 5-12 hour commitment. A background in computer science, mathematics, physics or related field is desired.