2008 | ||
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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 |