A Literature Review of Network Models in Neuroscience
| dc.contributor.advisor | Peixoto, Nathalia | |
| dc.contributor.author | Kazemi Abharian, Sanaz | |
| dc.contributor.author | Parsa, Maryam | |
| dc.date.accessioned | 2022-05-15T22:15:23Z | |
| dc.date.available | 2022-05-15T22:15:23Z | |
| dc.date.issued | 2022-05 | |
| dc.description.abstract | Neuroscience is developing in size, scope, and complexity of neural data obtained from large portions of nervous systems. The primary aim of network models in neuroscience is to map, record, and model the components and interactions of the human brain and nervous systems. In this paper, our goal is to survey graph-based network models in neuroscience and study their applications to detect diseases and disorders related to the human brain. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12845 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.subject | Neuroscience | |
| dc.subject | Network | |
| dc.subject | Disease | |
| dc.title | A Literature Review of Network Models in Neuroscience | |
| dc.type | Article |