Abstract
The effect of network connections on the synchronization is an area of interest in different disciplines. Several well-known methods have been developed as Kuramoto model. Recently, the relations between synchronization in the cortex and cognitive processes as selective attention, perception begin to draw attention in computational neuroscience. Also, there are works focusing on the relation between neurodegenerative diseases and synchronization in the cortex. Here, we focused on the role of connection sparseness in the cortex. To investigate the effect of sparseness, we built networks inspired by the structure of the cortex using Izhikevich Neuron model.
| Original language | English |
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| Title of host publication | TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728180731 |
| DOIs | |
| Publication status | Published - 19 Nov 2020 |
| Event | 2020 Medical Technologies Congress, TIPTEKNO 2020 - Antalya, Turkey Duration: 19 Nov 2020 → 20 Nov 2020 |
Publication series
| Name | TIPTEKNO 2020 - Tip Teknolojileri Kongresi - 2020 Medical Technologies Congress, TIPTEKNO 2020 |
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Conference
| Conference | 2020 Medical Technologies Congress, TIPTEKNO 2020 |
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| Country/Territory | Turkey |
| City | Antalya |
| Period | 19/11/20 → 20/11/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- BRIAN
- Cortex
- Izhikevich Model
- Sparseness
- Synchronization