Title:
Creating a Pose-Estimation System for Use in Studying Motor Cortical Dynamics
Creating a Pose-Estimation System for Use in Studying Motor Cortical Dynamics
| dc.contributor.author | Wilson, Valentine Allegra | |
| dc.contributor.committeeMember | Rydal Shapiro, Benjamin | |
| dc.contributor.committeeMember | Pandarinath, Chethan | |
| dc.contributor.department | Computer Science | |
| dc.contributor.department | Computer Science | |
| dc.date.accessioned | 2020-11-09T17:01:00Z | |
| dc.date.available | 2020-11-09T17:01:00Z | |
| dc.date.created | 2020-05 | |
| dc.date.issued | 2020-05 | |
| dc.date.submitted | May 2020 | |
| dc.date.updated | 2020-11-09T17:01:01Z | |
| dc.description.abstract | Currently, researchers attempt to better understand motor control by using stereotyped tasks in rodents. Using this method, researchers can correlate rat movements with activity occurring in the motor cortex. Our lab, specifically, uses a rodent paradigm where rats perform a supination task while simultaneously having population-level neuronal spiking activity recorded by a tetrode. This allows researchers to infer dynamics from stereotyped tasks but not from naturalistic tasks. In addition, using readings from a knob leaves room for error in recording. This project is an attempt to mitigate these issues with the introduction of a system that can quantify rat movement captured by two synchronous cameras. The system will use the novel pose-estimation software DeepLabCut to tag individual body parts, then find their trajectories, and finally piece together a 3D image of rat movement. | |
| dc.description.degree | Undergraduate | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/63892 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Pose estimation | |
| dc.subject | Transfer learning | |
| dc.subject | 3D reconstruction | |
| dc.subject | Computer vision | |
| dc.title | Creating a Pose-Estimation System for Use in Studying Motor Cortical Dynamics | |
| dc.type | Text | |
| dc.type.genre | Undergraduate Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | College of Computing | |
| local.contributor.corporatename | School of Computer Science | |
| local.contributor.corporatename | Undergraduate Research Opportunities Program | |
| local.relation.ispartofseries | Undergraduate Research Option Theses | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isOrgUnitOfPublication | 6b42174a-e0e1-40e3-a581-47bed0470a1e | |
| relation.isOrgUnitOfPublication | 0db885f5-939b-4de1-807b-f2ec73714200 | |
| relation.isSeriesOfPublication | e1a827bd-cf25-4b83-ba24-70848b7036ac | |
| thesis.degree.level | Undergraduate |