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Robert Kozma: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman
    Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics. [Citation Graph (0, 0)][DBLP]
    ACRI, 2004, pp:435-443 [Conf]
  2. Robert Kozma, Masaharu Kitamura, Aleksander Malinowski, Jacek M. Zurada
    On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:22-25 [Conf]
  3. Robert Kozma, Anna L. Buczak
    Biomedical Hypothesis Generation and Testing by Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    DMIN, 2006, pp:97-106 [Conf]
  4. Derek Harter, Robert Kozma
    Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  5. Derek Harter, Robert Kozma
    Task Environments for the Dynamic Development of Behavior. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:300-309 [Conf]
  6. Robert Kozma, Walter J. Freeman
    Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:33-38 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2005, v:92, n:6, pp:367-379 [Journal]
  8. Horatiu Voicu, Robert Kozma, Derek Wong, Walter J. Freeman
    Spatial navigation model based on chaotic attractor networks. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2004, v:16, n:1, pp:1-19 [Journal]
  9. Derek Harter, Robert Kozma
    Aperiodic dynamics and the self-organization of cognitive maps in autonomous agents. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:9, pp:955-971 [Journal]
  10. Robert Kozma, Toshio Fukuda
    Intentional dynamic systems: Fundamental concepts and applications. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:9, pp:875-879 [Journal]
  11. Robert Kozma, Maritza Alvarado, Linda Rogers, Brian Lau, Walter J. Freeman
    Emergence of un-correlated common-mode oscillations in the sensory cortex. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:747-755 [Journal]
  12. Robert Kozma, Walter J. Freeman
    Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:1107-1112 [Journal]
  13. Robert Kozma, Masatake Sakuma, Yoichi Yokoyama, Masaharu Kitamura
    On the accuracy of mapping by neural networks trained by backpropagation with forgetting. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1996, v:13, n:2-4, pp:295-311 [Journal]
  14. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:23-30 [Journal]
  15. Nikola K. Kasabov, Robert Kozma
    Methods and systems for intelligent human-computer interaction. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:123, n:1-2, pp:1-2 [Journal]
  16. Nikola K. Kasabov, Robert Kozma, Michael J. Watts
    Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:110, n:1-2, pp:61-79 [Journal]
  17. Nikola K. Kasabov, Robert Kozma
    Self-Organization and Adaptation in Intelligent Systems. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:6, pp:177- [Journal]
  18. Nikola K. Kasabov, Jaesoo Kim, Robert Kozma, Tico Cohen
    Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. [Citation Graph (0, 0)][DBLP]
    JACIII, 2001, v:5, n:4, pp:193-200 [Journal]
  19. Paul N. Balister, Béla Bollobás, Robert Kozma
    Large deviations for mean field models of probabilistic cellular automata. [Citation Graph (0, 0)][DBLP]
    Random Struct. Algorithms, 2006, v:29, n:3, pp:399-415 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:3, pp:292-305 [Journal]
  21. Derek Wong, Robert Kozma, Edward Tunstel, Walter J. Freeman
    Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:672-677 [Conf]
  22. Derek Harter, Robert Kozma
    Aperiodic Dynamics for Appetitive/aversive Behavior in Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:2147-2152 [Conf]
  23. Roman Ilin, Robert Kozma, Paul J. Werbos
    Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  24. Igor Beliaev, Robert Kozma
    Time series prediction using chaotic neural networks on the CATS benchmark. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2426-2439 [Journal]

  25. Control of multi-stable chaotic neural networks using input constraints. [Citation Graph (, )][DBLP]

  26. Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. [Citation Graph (, )][DBLP]

  27. Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. [Citation Graph (, )][DBLP]

  28. Influence of Criticality on 1/falphaSpectral Characteristics of Cortical Neuron Populations. [Citation Graph (, )][DBLP]

  29. Studies on Sparse Array Cortical Modeling and Memory Cognition Duality. [Citation Graph (, )][DBLP]

  30. Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks. [Citation Graph (, )][DBLP]

  31. Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. [Citation Graph (, )][DBLP]

  32. Identification of phase transitions in simulated EEG signals. [Citation Graph (, )][DBLP]

  33. Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures. [Citation Graph (, )][DBLP]

  34. Implementing intentional robotics principles using SSR2K platform. [Citation Graph (, )][DBLP]

  35. Intentional Control for Planetary Rover SRR. [Citation Graph (, )][DBLP]

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