Application of the neural data transformer to non-autonomous dynamical systems
| dc.contributor.author | Mifsud, Domenick M., author | |
| dc.contributor.author | Ortega, Francisco R., advisor | |
| dc.contributor.author | Anderson, Charles, advisor | |
| dc.contributor.author | Thomas, Micheal, committee member | |
| dc.contributor.author | Barreto, Armando, committee member | |
| dc.date.accessioned | 2023-08-28T10:28:04Z | |
| dc.date.available | 2023-08-28T10:28:04Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The Neural Data Transformer (NDT) is a novel non-recurrent neural network designed to model neural population activity, offering faster inference times and the potential to advance real-time applications in neuroscience. In this study, we expand the applicability of the NDT to non-autonomous dynamical systems by investigating its performance on modeling data from the Chaotic Recurrent Neural Network (RNN) with delta pulse inputs. Through adjustments to the NDT architecture, we demonstrate its capability to accurately capture non-autonomous neural population dynamics, making it suitable for a broader range of Brain-Computer Inter-face (BCI) control applications. Additionally, we introduce a modification to the model that enables the extraction of interpretable inferred inputs, further enhancing the utility of the NDT as a powerful and versatile tool for real-time BCI applications. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Mifsud_colostate_0053N_17809.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/236898 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Application of the neural data transformer to non-autonomous dynamical systems | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Mifsud_colostate_0053N_17809.pdf
- Size:
- 3.94 MB
- Format:
- Adobe Portable Document Format