| 2008 |
| 36 | EE | Hima B. Puppala,
Robert Kozma:
Identification of phase transitions in simulated EEG signals.
IJCNN 2008: 3511-3517 |
| 35 | EE | 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 |
| 2007 |
| 34 | EE | Roman Ilin,
Robert Kozma:
Control of multi-stable chaotic neural networks using input constraints.
IJCNN 2007: 2194-2199 |
| 33 | EE | 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 |
| 32 | EE | 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 |
| 31 | EE | Robert Kozma,
Terry Huntsberger,
Hrand Aghazarian,
Walter J. Freeman:
Implementing intentional robotics principles using SSR2K platform.
IROS 2007: 2262-2267 |
| 30 | EE | 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) |
| 29 | EE | Igor Beliaev,
Robert Kozma:
Time series prediction using chaotic neural networks on the CATS benchmark.
Neurocomputing 70(13-15): 2426-2439 (2007) |
| 28 | EE | Robert Kozma:
Neuropercolation.
Scholarpedia 2(8): 1360 (2007) |
| 2006 |
| 27 | | Robert Kozma,
Anna L. Buczak:
Biomedical Hypothesis Generation and Testing by Evolutionary Computation.
DMIN 2006: 97-106 |
| 26 | EE | Igor Beliaev,
Robert Kozma:
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks.
IJCNN 2006: 3991-3998 |
| 25 | EE | Kausik Kumar Majumdar,
Robert Kozma:
Studies on Sparse Array Cortical Modeling and Memory Cognition Duality.
IJCNN 2006: 4954-4957 |
| 24 | EE | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.
IJCNN 2006: 506-510 |
| 23 | EE | Robert Kozma:
Influence of Criticality on 1/falphaSpectral Characteristics of Cortical Neuron Populations.
IJCNN 2006: 632-637 |
| 22 | EE | Robert Kozma,
Toshio Fukuda:
Intentional dynamic systems: Fundamental concepts and applications.
Int. J. Intell. Syst. 21(9): 875-879 (2006) |
| 21 | EE | 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) |
| 20 | EE | 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) |
| 2005 |
| 19 | EE | 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) |
| 18 | EE | Marko Puljic,
Robert Kozma:
Activation clustering in neural and social networks.
Complexity 10(4): 42-50 (2005) |
| 17 | EE | Robert Kozma,
Derek Wong,
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) |
| 2004 |
| 16 | EE | 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 |
| 15 | | Derek Harter,
Robert Kozma:
Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents.
FLAIRS Conference 2004 |
| 14 | EE | Derek Harter,
Robert Kozma:
Aperiodic Dynamics for Appetitive/aversive Behavior in Autonomous Agents.
ICRA 2004: 2147-2152 |
| 13 | EE | 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 |
| 12 | EE | Horatiu Voicu,
Robert Kozma,
Derek Wong,
Walter J. Freeman:
Spatial navigation model based on chaotic attractor networks.
Connect. Sci. 16(1): 1-19 (2004) |
| 2002 |
| 11 | | 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) |
| 10 | EE | Robert Kozma,
Walter J. Freeman:
Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions.
Neurocomputing 44-46: 1107-1112 (2002) |
| 2001 |
| 9 | EE | Derek Harter,
Robert Kozma:
Task Environments for the Dynamic Development of Behavior.
International Conference on Computational Science (2) 2001: 300-309 |
| 8 | EE | 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) |
| 7 | EE | 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) |
| 2000 |
| 6 | EE | 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 |
| 5 | | Nikola K. Kasabov,
Robert Kozma:
Methods and systems for intelligent human-computer interaction.
Inf. Sci. 123(1-2): 1-2 (2000) |
| 1998 |
| 4 | | 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) |
| 3 | | Nikola K. Kasabov,
Robert Kozma:
Self-Organization and Adaptation in Intelligent Systems.
JACIII 2(6): 177 (1998) |
| 1996 |
| 2 | EE | 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) |
| 1995 |
| 1 | EE | 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 |