Özet
A computational model has been established using the Spiking Neural Network model of the basal ganglia circuit, which plays an active role in cognitive processes such as decision making and movement selection. At this point, we aim to have an idea about cellular and group-based processes. The Izhikevich neuron model was used as a cell model and Hebbian learning rule was applied for synaptic connections. The results were evaluated on raster plots and firing rates and results which obtained with a similar work have been obtained nearly.
| Tercüme edilen katkı başlığı | A computational model of basal ganglia circuit established with spiking neural network |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781538653401 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 1 Eki 2018 |
| Etkinlik | 21st National Biomedical Engineering Meeting, BIYOMUT 2017 - Istanbul, Turkey Süre: 24 Kas 2017 → 26 Kas 2017 |
Yayın serisi
| Adı | 2017 21st National Biomedical Engineering Meeting, BIYOMUT 2017 |
|---|
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| ???event.eventtypes.event.conference??? | 21st National Biomedical Engineering Meeting, BIYOMUT 2017 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Istanbul |
| Periyot | 24/11/17 → 26/11/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
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