Yayınlar

Uluslararası hakemli dergilerde yayınlanan makaleler :

1. Basabdatta Sen Bhattacharya, Yuksel Cakir, Neslihan Serap-Sengor, Liam Maguire, Damien Coyle, "Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in alzheimer's disease", Neurocomputing, 0925-2312 (2012).

2. Selin Metin, N. Serap Sengor, "From Occasional Choices to Inevitable Musts: A Computational Model of Nicotine Addiction", Computational Intelligence and Neuroscience, Volume 2012, Article ID 817485, 14 pages (2012).

3. G.B.Kaplan, N.S.Şengör, H.Gürvit, C.Güzeliş “Modeling The Stroop Effect: A Connectionist Approach”, Neurocomputing, 70(3),1414-1423, (2007).

4. G.B.Kaplan, N.S.Şengör, H.Gürvit, İ.Genç, C.Güzeliş, “A Composite Neural Network for Perseveration and Distractibility in Wisconsin Card Sorting Test”, Neural Networks, 19(4), 375-387 (2006) .

Kitap bölümleri:

1. Rahmi Elibol, Neslihan Serap Şengör, "A Computational Model of Neural Synchronization in Striatum", Computational Neurology and Psychiatry, 2017.

2. E. M. Navarro López, Utku Çelikok, N.S. Sengor, "Hybrid Systems Neuroscience", Closed Loop Neuroscience, 2016.

3. Basabdatta Sen-Bhattacharya, Neslihan Serap-Sengor, Yuksel Cakir,Liam Maguire, Damien Coyle, "Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics", P.K. Saha et al. (eds.), Advanced Computational Approaches to Biomedical Engineering, DOI 10.1007/978-3-642-41539-5__4, © Springer-Verlag Berlin Heidelberg, 2014.

Diğer Makaleler:

1. Rahmi Elibol, Neslihan Serap Şengör, "Building Neurocomputational Models at Different Levels for Basal Ganglia Circuit", Istanbul University - Journal of Electrical & Electronics Engineering, vol. 17 (1), sayfa: 3121-3128, 2017., Retrieved from http://dergipark.gov.tr/iujeee/issue/28345/288952

2. Utku Celikok, Eva M Navarro-López, Neslihan S Şengör, "A computational model describing the interplay of basal ganglia and subcortical background oscillations during working memory processes", 2016.

3. Neslihan Serap Şengör, Özkan Karabacak, "A computational model revealing the effect of dopamine on action selection", 2015.

4. U Celikok, NS Sengor, EM Navarro-Lopez, "The interplay of working memory and subcortical background oscillations", 2015.

Uluslararası bilimsel toplantılarda sunulan ve bildiri kitabında (Proceedings) basılan bildiriler :

1. Sami Utku Celikok, Eva M. Navarro-López2, Neslihan Serap Sengor "A Single Pyramidal-Cell and Network Computational Model of the Hippocampal CA3 Region", 26th Annual Computational Neuroscience Meeting, 2017.

2. Mustafa Yasir Özdemir, Neslihan Serap Şengör, "A spiking neural network model of basal ganglia-thalamocortical circuit with Brian2", 26th Annual Computational Neuroscience Meeting, 2017.

3. Rahmi Elibol, Neslihan Serap Şengör, "Functional connectivity between prefrontal cortex and striatum showed by computational model", 26th Annual Computational Neuroscience Meeting, 2017.

4. Sami Utku Celikok, Neslihan Serap Sengor, "Realizing Medium Spiny Neurons with a Simple Neuron Model", International Conference on Artificial Neural Networks, 2016.

5. Rahmi Elibol, Neslihan Serap Şengör, "Modeling Basal Ganglia Circuits with Mass Model Equations", Tıp Teknolojileri Kongresi (TIPTEKNO'16), Antalya, 2016.

6. Emeç Erçelik, Neslihan Serap Şengör, "A neurocomputational model implemented on humanoid robot for learning action selection", Neural Networks (IJCNN), 2015.

7. Rahmi Elibol, Neslihan Serap Şengör, "A computational model to investigate the effect of dopamine on neural synchronization in striatum", Neural Networks (IJCNN), 2015.

8. Sadeem Nabeel Saleem Kbah, Neslihan Serap Sengor, ”Investigating the synchronization of cortical neurons using BRIAN Simulator”, Innovations in Intelligent Systems and Applications (INISTA), Albena, 19-21 June, (2013).

9. Yücelgen C., Denizdurduran B., Metin S., Elibol R., Sengor N.S., " A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection", 22th International Conference on Artificial Neural Networks, Lausanne, Switzerland, (2012)

10. B. Denizdurduran, N.S. Sengor, “A Realization of Goal-Directed Behavior-Implementing a Robot Model Based on Cortico-Striato-Thalamic Circuits”, ICAART 2012, 4th International Conference on Agents and Artificial Intelligence, Algarve, Portugal, 6-8 February, (2012).

11. C. Yucelgen, Y. Kuyumcu, N.S. Sengor, “A Novel Structure for Realizing Goal-Directed Behavior”, 4th International Conference on Agents and Artificial Intelligence, Algarve, Portugal, 6-8 February, (2012).

12. B. Denizdurduran, N.S. Sengor , "Learning how to select an action: a computational model", Artificial Neural Networks and Machine Learning–ICANN (2012).

13. Demirkol A.S., Özoğuz S., "A Low Power VLSI Implementation of the Izhikevich Neuron Model", NEWCAS'11, Bordeux, France (2011).

14. S.Metin, N.S. Sengor,”A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning”, ICANN 2010, 20th International Conference on Artificial Neural Networks, Selanik, Eylül 15-18, (2010). 6

15. S.Metin, N.S. Sengor,”Dynamical System Approach in Modeling Addiction”, BICS 2010 (Brain Inspired Cognitive Systems), 4th International Symposium on Cognitive Neuroscience, Madrid, Temmuz 14-16, (2010).

16. N.S.Şengör, Ö.Karabacak, Ulrich Steinmetz, " A Computational Model of Cortico-Striato-Thalamic Circuits in Goal-Directed Behaviour", LNCS 5163, Proceedings of ICANN 2008 328-337, (2008).

17. Ö.Karabacak, N.S.Şengör, "A computational model for the effect of dopamine on action selection during Stroop test", Lecture Notes in Computer Science, 4131, 485-494, (2006).

18. Ö.Karabacak, N.S.Şengör, “A Dynamical Model of a Cognitive Function: Action Selection”, 16th IFAC World Congress, (2005).

19. G.B.Kaplan, N.S.Şengör, H.Gürvit, C.Güzeliş,"Modelling Stroop Effect by a Connectionist Model", Proc.ICANN/ICONIP'2003, Istanbul, Turkey, 457-460, (2003).

Uluslararası Bilimsel Toplantılarda Sunulan ve Bildiri Kitabında Basılan Özetler:

1. Rahmi Elibol, Neslihan Serap Şengör, "Looking at the role of direct and indirect pathways in basal ganglia networks at different levels", 24th Annual Computational Neuroscience Meeting, Prag, Çekya, 18-23 Temmuz 2015.

2. Selin Metin, Neslihan Serap Sengor, Koray Ciftci, "Comparing Single and Multiple Neuron Simulations of Integrated Dorsal and Ventral Striatal Pathway Models of Action Initiation", Bernstein Conference 2014, Göttingen, Germany, 2014.

3. E. Erçelik, N. S. Şengör, "Real Time Learning of Rearranging Associations on a Humanoid Robot", Bernstein Conference 2014, Göttingen, Germany, 2014.

4. E. Erçelik, N. S. Şengör, "Implementation of Matching Stimulus-Movement Experiment on a Humanoid Robot", International Workshop on Autonomous Cognitive Robotics, Stirling, Scotland, 2014.

5. S.Metin, N.S.Sengor, ”Merging dorsal and ventral striatal pathway outputs of basal ganglia circuit in decision making process”, 22th Annual Computational Neuroscience Meeting, Paris, 13-18 Temmuz 2013.

6. B.Denizdurduran, N.S.Sengor, ”A computational model of striatal neural microcircuit: how dopamine release becomes important to the striatal functions”,22th Annual Computational Neuroscience Meeting, Paris, 13-18 Temmuz 2013.

7. S.Metin, N.S.Sengor, ”Ventral Striatal Pathway Determines Actions Employed: A Computational Model”, 8th Bernstein Conference on Computational Neuroscience, Münih, Eylül 12-14, 2012.

8. B. Denizdurduran, R. Elibol, N.S.Sengor, ”A Fast-Slow Minimal Model for medium Spiny Neurons: A Geometrical Perspective”, 8th Bernstein Conference on Computational Neuroscience, Münih, Eylül 12-14, 2012.

9. C. Yucelgen, N.S.Sengor, ”Boosting Voluntary Actions: Modeling the Role of Indirect Pathway”, 8th Bernstein Conference on Computational Neuroscience, Münih, Eylül 12-14, 2012.

10. S.Metin, N.S.Sengor,” A neurocomputational model of nicotine addiction based on reinforcement learning”, 7th Bernstein Conference on Computational Neuroscience, Freiburg, Ekim 4-9, (2011).

11. B. Denizdurduran, N.S.Sengor,” A Biophysical Network Model for Action Selection”, 7th Bernstein Conference on Computational Neuroscience, Freiburg, Ekim 4-9, (2011).

12. S.Metin, N.S.Sengor,” A neurocomputational model of nicotine addiction based on reinforcement learning”, 13th Annual Meeting of the SRNT Europe, Antalya, (2011).

13. Büyükaksoy Kaplan G., Sengör N., Gürvit H., “Planning Framework For Tower of Hanoi Task”, 5th Bernstein Conference on Computational Neuroscience 2009 in Frankfurt, Germany, Eylül 30- Ekim2, (2009).

14. Cihan Soylu, Ozkan Karabacak, Neslihan Serap Sengor,”Investigating the Dynamics of the Neural Substrates Taking Part in Goal-Directed Behaviour” SIAM Conference on Applications of Dynamical Systems (DS09), Mayıs 17-21, Utah, (2009).

15. Büyükaksoy Kaplan G., Sengör N., Gürvit H., “Modeling working memory and learning in solving the towers of Hanoi test”, Xth International Conference on Cognitive Neuroscience Abstract Book, Bodrum, Turkey, pg. 169, (2008).

16. Balci M, Sengor N.S., “A Connectionist Model of Planning: a Behavioral Approach”, 13th Annual Dynamical Neuroscience Satellite Symposium, Washington D.C., U.S., pg. V-5, (2005).

17. Kaplan G.B. , Sengor N.S., Gurvit H., “An Improvement on Composite Neural Network System for Modelling Perseveration and Distractibility in Wisconsin card Sorting Test”, ICON IX International Conference on Cognitive Neuroscience, Havana, Cuba, pg. 182, (2005).

18. Kaplan G.B., Karabacak O., Sengor N.S., Gurvit H., “A Connectionist Model Considering the Effect of Basal Ganglia on Stroop Test” ICON IX International Conference on Cognitive Neuroscience, Havana, Cuba, pg. 254, (2005).

19. Balci M., Kaplan G.B., Sengor N.S., Gurvit H., “An Adaptive Resonance Theory Based Modelling of Working Memory in Tower of Hanoi Test”, ICON IX International Conference on Cognitive Neuroscience, Havana, Cuba, pg. 342, (2005).

20. G.K. Büyükaksoy, N.S.Şengör, H.Gürvit,”A Computational Model of Working Memory for Tower of Hanoi Test”, ”, Modelling Mental Processes and Disorders, AGORA for Biosystems, Kuşadası pg. 43, (2004).

21. D. Hasan, Ö.Karabacak, N.S. Şengör, “A Computataional Model of Reinforcement Learning at Basal Ganglia”, Modelling Mental Processes and Disorders, AGORA for Biosystems, Kuşadası pg. 48, (2004).

Ulusal Bilimsel Toplantılarda Sunulan ve Bildiri Kitabında Basılan Özetler:

1. Mustafa Yasir Özdemir, Neslihan Serap Şengor,"Ateşleyen Sinir Hücreleri ile Kurulmuş Bir Hesaplamalı Bazal Çekirdek Devresi Modeli ", 21. Biyomedikal Mühendisliği Ulusal Toplantısı, 2017.

2. Ahmet Hıfzı Bacaksız, Neslihan Serap Şengör, "Jansen Kortikal Kolonlar Modelinin Farklı Beyin Aktivitelerini Taklit Etmekteki Başarısının MATLAB Ortamında Sınanması",21. Biyomedikal Mühendisliği Ulusal Toplantısı, 2017.

3. Sami Utku Çelikok, Eva M. Navarro Lopez, Neslihan Serap Şengör,"Elektrofizyolojik ölçümlerin vuru üreten hücre modelleriyle gerçeklenmesi", 15nd National Congress of Neuroscience, 2017.

4. Rahmi Elibol, Neslihan Serap Şengör, "Ortaboy dikensi sinir hücrelerinin hesaplamalı model ile frekans-akım özelliklerinin elde edilmesi", 15nd National Congress of Neuroscience, 2017.

5. Mustafa Yasir Özdemir, Neslihan Serap Şengör, "Ateşleyen sinir hücreleri ile brian2 ortamında hazırlanmış bir bazal çekirdek modeli ve ara yüzü", 15nd National Congress of Neuroscience, 2017.

6. Alp Aydınoğlu, Neslihan Serap Şengör, "Sinaptik bağlantı ağırlıkları, uyaranlar ve gürültünün merkezi ritim üreteci oluşturan bir nöron populasyonuna etkileri", 15nd National Congress of Neuroscience, 2017.

7. Rahmi Elibol, Neslihan Serap Şengör, "Modeling basal ganglia circuits with mass model equations", Tıp Teknolojileri Kongresi (TIPTEKNO'16), (2016).

8. Rahmi Elibol, Neslihan Serap Şengör, A computational model of basal ganglia circuits investigating the role of dopamine on direct and indirect pathways, Tıp Teknolojileri Kongresi (TIPTEKNO'15), (2015).

9. Emeç Erçelik, Rahmi Elibol, Neslihan Serap Şengör, "A model on building and modifying the stimulus action association in the brain", Signal Processing and Communications Applications Conference (SIU), 2015.

10. Utku Çelikok, N Serap Şengör, "A computational model on affects of subcortical oscillations during working memory", Signal Processing and Communications Applications Conference (SIU), 2015.

11. Rahmi Elibol, Neslihan Serap Şengör, "Ortaboy Dikensi Sinir Hücrelerinin Modeli ve Dopamin Seviyesi ile Senkronizasyonu", 12nd National Congress of Neuroscience, 2014.

12. N. Serap Şengör, Yusuf Kuyumcu, Koray Çiftçi, Vuru Üreten Hücre Modeli İle Kortekse İlişkin Davranışların, Moldellenmesi, 22nd Signal Processing and Communications Applications Conference (SIU), (2014).

13. Özkan Karabacak, Rahmi Elibol, Neslihan Serap Şengör, Nöral Yapılarda Senkronizasyonun Hücre Dinamikleri Üzerine Etkisi, 22nd Signal Processing and Communications Applications Conference (SIU), (2014).

14. Elibol R., Sengor N.S., Striatal Ortaboy Dikensi Hücrelerdeki Senkronizasyonun Dopamin ile İlişkisine Dair Bir Hesaplamalı Model, Tıp Teknoljileri Kongresi (TIPTEKNO'14), (2014).

15. Sengor N.S., "Bilişsel Süreçleri Anlamada Matematiksel Sinir Bilimin Yeri", Karmaşık Dinamik Sistemler Çalıştayı, Ankara, (2012)

16. Elibol R., Sengor N.S., "Dopaminin Davranış Üstünde Etkisine İlişkin Striatum Modelleri", Karmaşık Dinamik Sistemler Çalıştayı, Ankara, (2012)

17. Metin S.,Sengor N.S., "Ventral Striatal Yolun Karar Almaya Katkısı", Karmaşık Dinamik Sistemler Çalıştayı, Ankara, (2012)

18. S. Metin, N.S. Sengör, “Nikotin bağımlılığı için pekiştirmeli öğrenmeye dayalı hesaplamalı bir model”, 10.Ulusal Sinirbilimleri Kongresi, İstanbul, (2011).

19. B. Denizdurduran, N.S. Sengör, “Kortiko-striato-talamik devrelerin bir robot uygulaması”, 10. Ulusal Sinirbilimleri Kongresi, İstanbul, (2011). Pdf

20. G.Büyükaksoy Kaplan, N.S. Sengör,“Değişen Koşullara Adaptasyon için Hesaplamalar”, 10. Ulusal Sinirbilimleri Kongresi, İstanbul, (2011).

21. S. Çapkan, N.S. Sengör, “Korku Şartlanmasına İlişkin bir Hesaplamalı Model”, 8. Ulusal Sinirbilimleri Kongresi, Bolu, (2009).

22. G.B. Kaplan, N.S. Sengör, H. Gürvit, I.Genç, C. Güzelis, "A Model for Perseveration and Distractibility in Wisconsin Card Sorting Test by Using a Composite Neural Network System", Neuroanatomy, 2nd National Congress of Neuroscience, Bursa, Turkey, April 26-20, pg. 36, (2003).

23. G.B. Kaplan, N.S. Sengör, H. Gürvit, C. Güzelis, "Modelling Stroop Effect by a Connectionist Model", Neuroanatomy, 2nd National Congress of Neuroscience, Bursa, Turkey, April 26-20, pg. 34, (2003).

Tezler :

1. Mustafa Yasir Özdemir, "Hareket Başlatma ve Derin Beyin Uyarımına İlişkin Bir Bazal Çekirdek Devresi Hesaplamalı Modeli", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2017)

2. Emeç Erçelik, "Hareket Seçimine İlişkin Beyin Esinlenmeli Hesaplamalı Modeller ve Robotlar Üstünde Gerçekleme", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2015)

3. Yusuf Kuyumcu, "Korteks Davranışının Vuru Üreten Hücre Modeli İle İncelenmesi", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2014)

4. Selin Metin, "Eylem Seçiminin Limbik Sisteme Bağlı Olarak Dinamik Sistem Yaklaşımı İle Modellenmesi", Doktora Tezi, İTÜ Fen Bilimleri Enstitüsü (2013)

5. Sadeem Nabeel Saleem Kbah, "Modelling The Neocoritcal Pyramidal Neurons and Their Group Behaviour", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2013)

6. Rahmi Elibol, "Sinirileticilerin etkisinin matematiksel modellenmesi: Ortaboy dikensi hücrelere Dopaminin etkisi", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2013)

7. Berat Denizdurduran, "Nasıl Eylem Seçileceğini Öğrenme: Dallanma Teorisinden Beyin Esinlenmeli Hesaplamalı Modele", Yüksek Lisans Tezi, İTÜ Fen Bilimleri Enstitüsü (2012)