Robert Kozma

Robert Kozma, Marko Puljic: Learning Effects in Coupled Arrays of Cellular Neural Oscillators. Cognitive Computation 5(2): 164-169 (2013)

Muhammad M. R. Khan, Khan M. Iftekharuddin, Ernest McCracken, Khandakar Islam, Sushil Bhurtel, Lan Wang, Robert Kozma: Autonomous wireless radar sensor mote for target material classification. Digital Signal Processing 23(3): 722-735 (2013)

Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos: Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks 32: 179-185 (2012)

Gahangir Hossain, Mark H. Myers, Robert Kozma: Study of Phase Relationships in ECoG Signals Using Hilbert-Huang Transforms. BICS 2012: 174-182

Germano Resconi, Robert Kozma: Geometric Image of Neurodynamics. IJCCI 2012: 457-465

Jeffery Jonathan Davis, Robert Kozma: Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures. IJCNN 2012: 1-7

Walter J. Freeman, Robert Kozma, Giuseppe Vitiello: Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex. IJCNN 2012: 1-8

Roman Ilin, Robert Kozma: Cognitively motivated learning of categorical data with Modeling Fields Theory. IJCNN 2012: 1-8

Giovanni Egidio Pazienza, Robert Kozma: Memristor as an archetype of dynamic data-driven systems and applications to sensor networks. Procedia CS 4: 1782-1787 (2011)

Giovanni Egidio Pazienza, Robert Kozma, Jordi Albo-Canals: Percolation in memristive networks. IJCNN 2011: 2761-2763

Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos: Metamodeling for large-scale optimization tasks based on object networks. IJCNN 2011: 2905-2910

Mark H. Myers, Robert Kozma: Modeling normal/epileptic brain dynamics with potential application in titration therapy. IJCNN 2011: 3085-3092

Marko Puljic, Robert Kozma: Broad-band Oscillations by Probabilistic Cellular Automata. J. Cellular Automata 5(6): 491-507 (2010)

Walter J. Freeman, Robert Kozma: Freeman's mass action. Scholarpedia 5(1): 8040 (2010)

Robert Kozma, Marko Puljic: Chaotic behavior in probabilistic cellular neural networks. IJCNN 2010: 1-7

Robert Kozma: 2009 International Joint Conference on Neural Networks (IJCNN 2009) [Conference Reports]. IEEE Comp. Int. Mag. 4(4): 18-20 (2009)

Robert Kozma, Daniel S. Levine, Leonid I. Perlovsky: Introduction to the special issue on goal-directed neural systems. Neural Networks 22(3): 197-199 (2009)

Robert Kozma, Walter J. Freeman: The KIV model of intentional dynamics and decision making. Neural Networks 22(3): 277-285 (2009)

Robert Kozma, Steven L. Bressler, Leonid I. Perlovsky, Ganesh K. Venayagamoorthy: Advances in neural networks research: An introduction. Neural Networks 22(5-6): 489-490 (2009)

Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu: A new nonlinear filter design for the detection of phase transitions in ECoG data. IJCNN 2009: 671-676

Roman Ilin, Robert Kozma: Sensor integration in KIV brain model for decision making. IJCNN 2009: 1328-1334

Mark H. Myers, Robert Kozma: Seizure prediction through dynamic synchronization measures of neural populations. IJCNN 2009: 2195-2201

Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward Tunstel, Roman Ilin, Walter J. Freeman: Intentional Control for Planetary Rover SRR. Advanced Robotics 22(12): 1309-1327 (2008)

Roman Ilin, Robert Kozma, Paul J. Werbos: Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Transactions on Neural Networks 19(6): 929-937 (2008)

Hima B. Puppala, Robert Kozma: Identification of phase transitions in simulated EEG signals. IJCNN 2008: 3511-3517

Robert Kozma, Leonid I. Perlovsky, JaiSantosh Ankishetty: Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures. IJCNN 2008: 3524-3529

Igor Beliaev, Robert Kozma: Time series prediction using chaotic neural networks on the CATS benchmark. Neurocomputing 70(13-15): 2426-2439 (2007)

Robert Kozma: Neuropercolation. Scholarpedia 2(8): 1360 (2007)

Roman Ilin, Robert Kozma: Control of multi-stable chaotic neural networks using input constraints. IJCNN 2007: 2194-2199

Robert Kozma, Ross W. Deming, Leonid I. Perlovsky: Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. IJCNN 2007: 2341-2345

Robert Linnehan, John Schindler, David Brady, Robert Kozma, Ross W. Deming, Leonid I. Perlovsky: Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. IJCNN 2007: 2758-2763

Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Walter J. Freeman: Implementing intentional robotics principles using SSR2K platform. IROS 2007: 2262-2267

Roman Ilin, Robert Kozma, Paul J. Werbos: Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator. CoRR abs/0710.4182 (2007)

Robert Kozma, Toshio Fukuda: Intentional dynamic systems: Fundamental concepts and applications. Int. J. Intell. Syst. 21(9): 875-879 (2006)

Derek Harter, Robert Kozma: Aperiodic dynamics and the self-organization of cognitive maps in autonomous agents. Int. J. Intell. Syst. 21(9): 955-971 (2006)

Paul N. Balister, Béla Bollobás, Robert Kozma: Large deviations for mean field models of probabilistic cellular automata. Random Struct. Algorithms 29(3): 399-415 (2006)

Robert Kozma, Anna L. Buczak: Biomedical Hypothesis Generation and Testing by Evolutionary Computation. DMIN 2006: 97-106

Roman Ilin, Robert Kozma, Paul J. Werbos: Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN 2006: 506-510

Robert Kozma: Influence of Criticality on 1/f^alphaSpectral Characteristics of Cortical Neuron Populations. IJCNN 2006: 632-637

Igor Beliaev, Robert Kozma: Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks. IJCNN 2006: 3991-3998

Kausik Kumar Majumdar, Robert Kozma: Studies on Sparse Array Cortical Modeling and Memory Cognition Duality. IJCNN 2006: 4954-4957

Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman: Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biological Cybernetics 92(6): 367-379 (2005)

Marko Puljic, Robert Kozma: Activation clustering in neural and social networks. Complexity 10(4): 42-50 (2005)

Robert Kozma, Derek Wong, Rustu Murat Demirer, Walter J. Freeman: Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation. Neurocomputing 65-66: 23-30 (2005)

Derek Harter, Robert Kozma: Chaotic neurodynamics for autonomous agents. IEEE Transactions on Neural Networks 16(3): 565-579 (2005)

Robert Kozma, Edward Tunstel: A Novel Approach to Distributed Sensory Networks Using Biologically-Inspired Sensory Fusion. SMC 2005: 1005-1010

Igor Beliaev, Roman Ilin, Robert Kozma: Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. SMC 2005: 1011-1016

Horatiu Voicu, Robert Kozma, Derek Wong, Walter J. Freeman: Spatial navigation model based on chaotic attractor networks. Connect. Sci. 16(1): 1-19 (2004)

Deliang Wang, Walter J. Freeman, Robert Kozma, Andrzej Lozowski, Ali Minai: Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. IEEE Transactions on Neural Networks 15(5): 953-956 (2004)

Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman: Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics. ACRI 2004: 435-443

Derek Harter, Robert Kozma: Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents. FLAIRS Conference 2004: 424-429

Derek Wong, Robert Kozma, Edward Tunstel, Walter J. Freeman: Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model. ICRA 2004: 672-677

Derek Harter, Robert Kozma: Aperiodic Dynamics for Appetitive/aversive Behavior in Autonomous Agents. ICRA 2004: 2147-2152

Robert Kozma, Sangeeta Muthu: Implementing reinforcement learning in the chaotic KIV model using mobile robot AIBO. IROS 2004: 2337-2342

Robert Kozma, Horatiu Voicu, Derek Wong, Walter J. Freeman: Dynamical neural network algorithm for autonomous learning and navigation control. SMC 2003: 2132-2137

Robert Kozma, Walter J. Freeman: Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. Neurocomputing 44-46: 1107-1112 (2002)

Robert B. Kozma, R. E. Anderson: Qualitative case studies of innovative pedagogical practices using ICT. J. Comp. Assisted Learning 18(4): 387-394 (2002)

Prasun K. Roy, Robert Kozma, D. Dutta Majumder: From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems. IEEE Trans. Evolutionary Computation 6(3): 292-305 (2002)

Robert Kozma, Maritza Alvarado, Linda J. Rogers, Brian Lau, Walter J. Freeman: Emergence of un-correlated common-mode oscillations in the sensory cortex. Neurocomputing 38-40: 747-755 (2001)

Nikola K. Kasabov, Jaesoo Kim, Robert Kozma, Tico Cohen: Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. JACIII 5(4): 193-200 (2001)

Derek Harter, Robert Kozma: Task Environments for the Dynamic Development of Behavior. International Conference on Computational Science (2) 2001: 300-309

Nikola K. Kasabov, Robert Kozma: Methods and systems for intelligent human-computer interaction. Inf. Sci. 123(1-2): 1-2 (2000)

Robert Kozma, Walter J. Freeman: Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains. IJCNN (5) 2000: 33-38

Robert B. Kozma: Students collaborating with computer models and physical experiments. CSCL 1999: 39

Nikola K. Kasabov, Robert Kozma, Michael J. Watts: Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. Inf. Sci. 110(1-2): 61-79 (1998)

Nikola K. Kasabov, Robert Kozma: Self-Organization and Adaptation in Intelligent Systems. JACIII 2(6): 177 (1998)

Robert Kozma, Masatake Sakuma, Yoichi Yokoyama, Masaharu Kitamura: On the accuracy of mapping by neural networks trained by backpropagation with forgetting. Neurocomputing 13(2-4): 295-311 (1996)

Robert Kozma, Masaharu Kitamura, Aleksander Malinowski, Jacek M. Zurada: On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. ANNES 1995: 22-25