| Autor: |
Diogo L M Souza, Fernando S Borges, Enrique C Gabrick, Lucas E Bentivoglio, Paulo R Protachevicz, Vagner dos Santos, Ricardo L Viana, Ibere L Caldas, Kelly C Iarosz, Antonio M Batista, Jürgen Kurths |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Journal of Physics: Complexity, Vol 5, Iss 2, p 025010 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2632-072X |
| DOI: |
10.1088/2632-072X/ad42f6 |
| Popis: |
Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, ,we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius ( R ) plays a crucial role in the appearance of spiral waves. For R |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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