Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
In this study, the information coding issue in the nervous system is investigated. By using mathematical equations for modeling the dynamics of the basic units of the system, which are neurons, the information processing performance of the neuron populations is systematically studied. As most of studies in the literature investigate the subject by considering neuron populations as homogenous systems, in this study, the populations are considered as heterogeneous in terms of neuronal excitability. The obtained results demonstrate that considering the heterogeneity of the populations provides significant advantages for the processing of neuronal information. It is shown that the neuron population exhibits maximal performance (resonance) for two different levels of network heterogeneity. Moreover, the influences of other biological parameters, forming the whole system, on this double-resonance phenomenon are investigated. © 2014 IEEE.
| Dergi Adı | 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings |
| Sayfalar | 1991 - 1994 |
| Yayın Yılı | 2014 |
| Eser Adı [dc.title] | Effects of heterogeneity on information processing in biological neural networks |
| Yazar [dc.contributor.author] | Çalım, Ali |
| Yazar [dc.contributor.author] | Uzuntarla, Muhammet |
| Yazar [dc.contributor.author] | Özer, Mahmut |
| Yayın Yılı [dc.date.issued] | 2014 |
| Yayıncı [dc.publisher] | IEEE Computer Society |
| Yayın Türü [dc.type] | proceedings |
| Açıklama [dc.description] | 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053 |
| Özet [dc.description.abstract] | In this study, the information coding issue in the nervous system is investigated. By using mathematical equations for modeling the dynamics of the basic units of the system, which are neurons, the information processing performance of the neuron populations is systematically studied. As most of studies in the literature investigate the subject by considering neuron populations as homogenous systems, in this study, the populations are considered as heterogeneous in terms of neuronal excitability. The obtained results demonstrate that considering the heterogeneity of the populations provides significant advantages for the processing of neuronal information. It is shown that the neuron population exhibits maximal performance (resonance) for two different levels of network heterogeneity. Moreover, the influences of other biological parameters, forming the whole system, on this double-resonance phenomenon are investigated. © 2014 IEEE. |
| Kayıt Giriş Tarihi [dc.date.accessioned] | 2019-12-23 |
| Açık Erişim Tarihi [dc.date.available] | 2019-12-23 |
| Yayın Dili [dc.language.iso] | tur |
| Konu Başlıkları [dc.subject] | biological neural networks |
| Konu Başlıkları [dc.subject] | heterogeneity |
| Konu Başlıkları [dc.subject] | signal processing |
| Künye [dc.identifier.citation] | Çalım, A., Uzuntarla, M. ve Özer, M. (2014). Effects of heterogeneity on information processing in biological neural networks. 2014 22nd Signal Processing and Communications Applications Conference (SIU) içinde (ss. 1991–1994). doi:10.1109/SIU.2014.6830648 |
| Haklar [dc.rights] | info:eu-repo/semantics/closedAccess |
| Alternatif Başlık [dc.title.alternative] | Biyolojik nöron ağlarında heterojenliğin bilgi işleme üzerine etkileri |
| İlk Sayfa Sayısı [dc.identifier.startpage] | 1991 |
| Son Sayfa Sayısı [dc.identifier.endpage] | 1994 |
| Dergi Adı [dc.relation.journal] | 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings |
| Tek Biçim Adres [dc.identifier.uri] | https://dx.doi.org/10.1109/SIU.2014.6830648 |
| Tek Biçim Adres [dc.identifier.uri] | https://hdl.handle.net/20.500.12628/5481 |