A computational model of the growth of dendritic spines with synaptic plasticity; [Sinaptik plastisite ile dendritik dikenlerin büyümesinin hesaplamali bir modeli]
Conference ObjectAçık Erişim
Özet
The spines on the dendrites of neurons have many biophysical functions such as increasing the surface area of the dendrites and increasing the input resistance of neuron. It is known that synaptic plasticity is effective in the formation and growth of spines. In this work, a computational model of growth of dendritic spines due to synaptic plasticity is presented. The proposed model is built with spiking neural networks and synaptic dynamics. In the model, the change of synaptic weights is achieved with synaptic plasticity, and the growth of dendritic spines can be demonstrated by using this change. © 2022 IEEE.
Anahtar Kelimeler
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/12787Resmi atıflarda kullanılan kalıcı adresTam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Elibol, Rahmi | |
| dc.date.accessioned | 2026-10-18T20:27:39.493690548Z | |
| dc.date.available | 2026-10-18T20:27:39.493690548Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The spines on the dendrites of neurons have many biophysical functions such as increasing the surface area of the dendrites and increasing the input resistance of neuron. It is known that synaptic plasticity is effective in the formation and growth of spines. In this work, a computational model of growth of dendritic spines due to synaptic plasticity is presented. The proposed model is built with spiking neural networks and synaptic dynamics. In the model, the change of synaptic weights is achieved with synaptic plasticity, and the growth of dendritic spines can be demonstrated by using this change. © 2022 IEEE. | |
| dc.identifier.doi | 10.1109/siu55565.2022.9864973 | |
| dc.identifier.isbn | 978-166545092-8 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-85138746766 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/12787 | |
| dc.identifier.wos | WOS:001307163400311 | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | dendritic spines | |
| dc.subject | plasticity | |
| dc.subject | synapse | |
| dc.subject | Computational modelling | |
| dc.subject | Dendritic spine | |
| dc.subject | Input resistance | |
| dc.subject | Network dynamics | |
| dc.subject | Neural-networks | |
| dc.subject | Surface area | |
| dc.subject | Synaptic dynamics | |
| dc.subject | Synaptic plasticity | |
| dc.subject | Synaptic weight | |
| dc.subject | Neural networks | |
| dc.title | A computational model of the growth of dendritic spines with synaptic plasticity; [Sinaptik plastisite ile dendritik dikenlerin büyümesinin hesaplamali bir modeli] | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.oa.status | green | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Conference Proceedings Citation Index - Science (CPCI-S) |
