12) G.B.Kaplan, N.S.Şengör, H.Gürvit, C.Güzeliş “Modeling The Stroop Effect: A Connectionist Approach”, Neurocomputing, Vol. 70, pp1414-1423, March, 2007.

11) A. Demirören, H.L. Zeynelgil, N.S. Şengör, "The application of neural network controller to power system with SMES for transient stability enhancement", European Transactions on Electrical Power, Vol.16, no. 6, pp.629-646, 2006.

10) 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, Vol. 19, No:4, pp. 375-387, 2006 .

9) A. Demiroren, H. L. Zeynelgil, N. S. Sengor, "Automatic generation control using ANN technique for multi-area power system with SMES units ", Electric Power Components and Systems, Vol.32, No.2, pp.193-213, 2004.

8) A. Demiroren, H. L. Zeynelgil, N. S. Sengor, "The application of NN technique to automatic generation control for the power system with three areas including SMES units ", European Transactions on Electrical Power, Vol.13, No.4, pp.227-238, 2003.

7) S. Ozoguz, N. S. Sengor, "On the realization of NPN-only log-domain chaotic oscillators", IEEE Trans. on Circuits and Systems-I, Vol.50, No.2,pp.291-294, Feb.2003.

6) A. Demiroren, H. L. Zeynelgil, N. S. Sengor, “Automatic Genereation Control for Power System with SMES by Using Neural Network Controller”, Electric Power Components and Systems, Vol. 31 No.1, pp. 1-25 Jan., 2003.

5) H. L. Zeynelgil, A. Demiroren, N. S. Sengor, "Load Frequency Control for Power System with Reheat Steam and Governor Deadband Nonlinearity by Using Neural Network Controller", European Transactions on Electrical Power, Vol.12, No.3,pp.179-184,2002

4) H. L. Zeynelgil, A. Demiroren, N. S. Sengor, "The Application of ANN technique to automatic generation control for multi-area power system", Electrical Power and Energy Systems No.24, pp.345-354,2002.

3) A. Demiroren, N. S. Sengor, H. L. Zeynelgil, "Automatic generation control by using ANN technique", Electric machines and power systems ( Electric Components and power systems), Vol. 29, No.10, 2001.

2) N. S. Sengor, M. E. Yalcin, Y. Cakir, M. Ucer, C. Guzelis, F. Pekergin, O. Morgul, “Solving Maximum Clique Problem by Cellular Neural Networks”, Electronics Letters, vol.34, no:15, pp.1054-1056, 1998.

1) N. S. Sengor, I. C. Goknar, “Convergence of  Threshold Networks Using Their Dissipative System Model”, Int. J. Circ. Theor. Appl., vol. 28, pp.203-207, 2000.

14) O. Karabacak, N. S. Sengor, “A computational model for the effect of dopamine on action selection during Stroop test”, Lecture Notes in Computer Science, vol.4131, pg.. 485-494, 2006.

13) M. Simsek, N.S. Sengor, “Knowledge-based Neuromodelling Using Compound Space-Mapping”, FACE’06, Victoria, Canada, 2006.

12) O. Karabacak, N. S. Sengor, “A Dynamical Model of a Cognitive Function: Action Selection”, 16^th IFAC World Congress, 2005.

11) B. Kapanoglu, R. Acar, N. S. Sengor, "Macromodelling P-MOSFET at microwave frequencies using Elman Network”, Proc. Applied Electronics’04, Pilsen, pp. 105-108, 2004.

10) G. B. Kaplan, N. S. Sengor, H. Gurvit, C. Guzelis, "Modelling Stroop Effect by a Connectionist Model", Proc.ICANN/ICONIP'2003, Istanbul, Turkey, pp. 457-460, June 26-29, 2003.

9) H. L. Zeynelgil, N. S. Sengor, A. Demiroren, “The Investigation of Environmental/ economic Dispatch by Using Hopfield NN”, Power. Tech. Conference Proc., Vol 2, Bologna, Italy, June 23-26, 2003.

8) H. L. Zeynelgil, A. Demiroren, N. S. Sengor, "The Applications of NN Controllers to Synchronous Machine Including SMES", Proc. IASTED'02, Crete, Greece, pp.183-187, June 25-28, 2002.

7) S. Ozoguz, N. S. Sengor, "Modified Log-Domain Oscillator for Chaos", Proc. ICCSC'02, St. Petersburg, pp. 287-290, June26-28, 2002.

6) J. Roos, N. S. Sengor, T. Dufva, "Development and Comparison of Numerical Rounded Stripline Bend Models", Proc. ECCTD'01, Espoo, Finland, pp. III-313-316, August 2001.

5) A. Demiroren, H. L. Zeynelgil, N. S. Sengor, " The Application of ANN technique to load-frequency control for three-area power system", Portotech2001, Portugal,2001.

4) N. S. Sengor, Y. Cakir, C. Guzelis, F. Pekergin, O. Morgul, “ Analysis of Maximum Clique Formulations and Saturated Linear Dynamical Network”, Proc. CSCC, Athens, Greece, July 1999.

3) I. C. Goknar, N. S. Sengor, “Discrete-time version of Kalman-Yacubovitch-Popov Lemma for Nonlinear Systems”, Proc. ICECS, Lisbon, Portugal, September 7-10,  pp.1054-1056, 1998.

2) N. S. Sengor, M. E. Yalcin, Y. Cakir, M. Ucer, C. Guzelis, F. Pekergin, O. Morgul,

“An Application of Cellular Neural Network: Maximum Clique Problem”, Proc.CNNA, London, UK, April 14-17,  pp.208-211, 1998.

1) N. S. Sengor, ”Disturbance Decoupling for Communication by Chaotic Signals”, Proc. NDES, Moscow Technical University of Communication and Informatics, Moscow, Russia, June 26-27, pp.235-239, 1997.

2) S. Hekimhan, S. Menekay, N. S. Sengor, “Prior Knowledge Input Method in Device Modeling “, Elektrik, Special Issue on selected papers from ELECO’03, Vol. 13, no.1, 2005, pp.51-60.

1) N. S. Sengor, Y. Cakir, C. Guzelis, F. Pekergin, O. Morgul, “ Analysis of Maximum Clique Formulations and Saturated Linear Dynamical Network”, ARI, 1999.

11) L. Aksoy, N. S. Sengor, ”Mikroşerit Hat Endüktans Büyüklüğünün Bilgi Tabanlı Yapay Sinir Ağları ile Modellenmesi”, ELECO’2004, , sf. 17-21, Bursa, 2004

10) M. Simsek, I. Turker, N. S. Sengor, “Elektronik Devrelerinin Modellenmesinde Yüksek Başarımlı Bilgi Tabanlı Yapay Sinir Ağlarının Kullanımı”, ELECO’2004, , sf. 37-41, Bursa, 2004.

9) M. Meral, N. S. Sengor, “Hibrit Elman Ağı ile Sistem Tanıma”, SİU’04, Kuşadası, pp.80-83, 2004.

8) S. Hekimhan, S. Menekay, N. S. Sengor, " Prior Knowledge Input Model in Device Modelling", ELECO’2003, Bursa, pp.117-121, Turkey, 2003

7) A. Zongor, N. S. Sengor, "Çok Katmanlı Ağların Eğitiminde Levenberg-Marquardt Algoritmasının Bir Gerçeklemesi", SİU 2003, sf. 134-136, İstanbul 2003.

6) U. Sarac, N. S. Sengor, H. Ozer, "Saklı Markov Modelleme tekniklerinin Telsiz verici Kimlik Tespit Sistemlerine Uygulanması", SIU 2003, sf. 461-463, İstanbul, 2003.

5) T. E. Ozkurt, N. S. Sengor, "Radyal tabanlı ağlar ile zaman Serisi Öngörümü", SIU 2003, sf. 461-463, İstanbul, 2003.

4) U. Sarac, N. S. Sengor, H. Ozer, N. Yildirim, "Uyarlamali Olasilikli Sinir Aglarinin Verici Kimlik Tespit Sistemlerinde Kullanilmasi", SIU 2002, CII, sf. 1168-1173, Pamukkale, 2002

3) H. L. Zeynelgil, A. Demiroren, N. S. Sengor, " Devir sayisi regülatörü nonlineerlikleri katilmis olan güç sisteminde neural kontrolör kullanimiyla yük-frekans kontrolu", ELECO, Bursa, Turkey, 2000.

2) S. Ozoguz, N. S. Sengor, ”CFOA-Based Wien-Bridge type RC Chaos Oscillator”, Proc. ELECO, Bursa, Turkey, 1999.

1) N. S. Sengor, Y. Cakir, M. Ucer, C. Guzelis, F. Pekergin, O. Morgul, “ Gradient-like Systems as Continuous Methods for Approximating Maximum Clique Problem ”, Proc. TAINN, Ankara, Turkey, June 14-17,  pp.234-243, 1998.

7) M. Simsek, N.S. Sengor, “A New Modeling Method Based on Difference between Fine and Coarse Models Using Space Mapping”, SMSMEO-06, Kopenhag, Danimarka.

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

5) G. B. Kaplan, N. S. Sengor, H. Gurvit, “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.

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

3) M. Balci, G. B. Kaplan, N. S. Sengor, H. Gurvit, “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.

2) G. K. Buyukaksoy, N. S. Sengor, H. Gurvit,”A Computational Model of Working Memory for Tower of Hanoi Test”, ”, Modelling Mental Processes and Disorders, AGORA for Biosystems, Kuşadası pg. 43, 2004.

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

2) G. B. Kaplan, N. S. Sengor, H. Gurvit, I. Genc, C. Guzelis, "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.

1) G. B. Kaplan, N. S. Sengor, H. Gurvit, C. Guzelis, "Modelling Stroop Effect by a Connectionist Model", Neuroanatomy, 2nd National Congress of Neuroscience, Bursa, Turkey, April 26-20, pg. 34, 2003.

2) J. Roos, N. S. Sengor, A. Pohjala, "Artificial Neural Network Based RF-Model Generator-Version 0.2", Laboratory Report CT-48, HUT, May 2003.

1) N. S. Sengor, "Artificial Neural Networks for RF/Microwave Modelling- System Theory Approach", Circuit Theory Laboratory Report CT-44, HUT, May 2001.

1) N.S. Sengor, “A Simple Artificial Neural Network Structure for Generating Chaos”, Complex-computing networks-Brain-like and wave-oriented electrodynamic algorithms, Springer, Proceedings in Physics, vol. 104, pp.325-331, 2006.