Cengiz Günay

Joachim Diederich, Cengiz Günay, James M. Hogan: Recruitment Learning. Studies in Computational Intelligence 303, Springer 2011, isbn 978-3-642-14027-3, pp. 3-281

Cengiz Günay, Jeremy R. Edgerton, Su Li, Thomas Sangrey, Astrid A. Prinz, Dieter Jaeger: Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA's Toolbox. Neuroinformatics 7(2): 93-111 (2009)

Cengiz Günay, Astrid A. Prinz: Finding sensors for homeostasis of biological neuronal networks using artificial neural networks. IJCNN 2009: 1025-1032

Cengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon Crook, Volker Steuber, Angus Silver, Horatiu Voicu, Peter Andrews, Hemant Bokil, Hiren Maniar, Catherine Loader, Samar Mehta, David Kleinfeld, David J. Thomson, Partha P. Mitra, Gloster Aaron, Jean-Marc Fellous: Computational Intelligence in Electrophysiology: Trends and Open Problems. Applications of Computational Intelligence in Biology 2008: 325-359

Cengiz Günay, Anthony S. Maida: A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biological Cybernetics 94(1): 33-45 (2006)

Cengiz Günay, Anthony S. Maida: Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. Neurocomputing 69(4-6): 317-367 (2006)

Istvan S. N. Berkeley, Cengiz Günay: Conducting banding analysis with trained networks of sigmoid units. Connect. Sci. 16(2): 119-128 (2004)

Cengiz Günay, Anthony S. Maida: Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks 16(5-6): 593-600 (2003)

Anthony S. Maida, Benjamin A. Rowland, Cengiz Günay: Synchronized Firing in a Time-Delayed Neural Network. FLAIRS Conference 2001: 485-488

Cengiz Günay: Agent Architecture: Using Java Exeptions in a Nonstandard Way and an Object Oriented Approach to Evolution of Intelligence. IEA/AIE 2000: 717-722