Bossers, Peter (2019) The Hierarchical Synchronization of Neural Oscillators in the Brain. Integration Project, Industrial Engineering and Management.
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Abstract
Neuronal communication through oscillatory synchronization is a growing subject of interest in neuroscience. Numerous studies try to describe the dynamics of brain activity. Network science seems a promising tool to simulate the complex cognitive behaviour in an artificial environment. However, there are several approaches available to build a computational model for cognitive simulations. In this study, the hierarchical approach is selected as a mechanism for the coordination and communication between different brain areas. A mathematical and computational model is obtained to perform experiments. Within the model, three main parameters are chosen to be variable. Suit- able values for the local coupling, global coupling and velocity are found to obtain a virtually metastable brain. The purpose of the research is to analyse the behaviour of the model. Furthermore, synchronization between two virtually computed nodes are studied. The phase locking statistics and phase lag index are the two methods that are used. Eventually, the results on the behaviour of two nodes in the model can be used in future studies to construct real cognitive patterns from an associative memory recognition experiment.
| Item Type: | Thesis (Integration Project) |
|---|---|
| Supervisor name: | Cao, M. |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Integration Project |
| Language: | English |
| Date Deposited: | 14 Jul 2019 |
| Last Modified: | 16 Jul 2019 10:17 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/20215 |
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