Robert Kozma

	2009
40		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)
39		Robert Kozma, Walter J. Freeman: The KIV model of intentional dynamics and decision making. Neural Networks 22(3): 277-285 (2009)
38		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)
	2008
37		Hima B. Puppala, Robert Kozma: Identification of phase transitions in simulated EEG signals. IJCNN 2008: 3511-3517
36		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
35		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)
	2007
34		Roman Ilin, Robert Kozma: Control of multi-stable chaotic neural networks using input constraints. IJCNN 2007: 2194-2199
33		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		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		Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Walter J. Freeman: Implementing intentional robotics principles using SSR2K platform. IROS 2007: 2262-2267
30		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		Igor Beliaev, Robert Kozma: Time series prediction using chaotic neural networks on the CATS benchmark. Neurocomputing 70(13-15): 2426-2439 (2007)
28		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		Igor Beliaev, Robert Kozma: Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks. IJCNN 2006: 3991-3998
25		Kausik Kumar Majumdar, Robert Kozma: Studies on Sparse Array Cortical Modeling and Memory Cognition Duality. IJCNN 2006: 4954-4957
24		Roman Ilin, Robert Kozma, Paul J. Werbos: Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN 2006: 506-510
23		Robert Kozma: Influence of Criticality on 1/falphaSpectral Characteristics of Cortical Neuron Populations. IJCNN 2006: 632-637
22		Robert Kozma, Toshio Fukuda: Intentional dynamic systems: Fundamental concepts and applications. Int. J. Intell. Syst. 21(9): 875-879 (2006)
21		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		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		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		Marko Puljic, Robert Kozma: Activation clustering in neural and social networks. Complexity 10(4): 42-50 (2005)
17		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		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		Derek Harter, Robert Kozma: Aperiodic Dynamics for Appetitive/aversive Behavior in Autonomous Agents. ICRA 2004: 2147-2152
13		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		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		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		Derek Harter, Robert Kozma: Task Environments for the Dynamic Development of Behavior. International Conference on Computational Science (2) 2001: 300-309
8		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		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		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		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		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

Coauthor Index

1	Hrand Aghazarian	[31]
2	Maritza Alvarado	[7]
3	JaiSantosh Ankishetty	[36]
4	Paul N. Balister (Paul Balister)	[16] [19] [20]
5	Igor Beliaev	[26] [29]
6	Béla Bollobás	[16] [19] [20]
7	David Brady	[32]
8	Steven L. Bressler	[38]
9	Anna L. Buczak	[27]
10	Tico Cohen	[8]
11	Ross W. Deming	[32] [33]
12	Murat Demirer	[17]
13	Walter J. Freeman	[6] [7] [10] [12] [13] [16] [17] [19] [31] [39]
14	Toshio Fukuda	[22]
15	Derek Harter	[9] [14] [15] [21]
16	Terrance L. Huntsberger (Terry Huntsberger)	[31]
17	Roman Ilin	[24] [30] [34] [35]
18	Nikola K. Kasabov (Nikola Kasabov)	[3] [4] [5] [8]
19	Jaesoo Kim	[8]
20	Masaharu Kitamura	[1] [2]
21	Brian Lau	[7]
22	Daniel S. Levine	[40]
23	Robert Linnehan	[32]
24	Kausik Kumar Majumdar	[25]
25	D. Dutta Majumder	[11]
26	Aleksander Malinowski	[1]
27	Leonid I. Perlovsky	[32] [33] [36] [38] [40]
28	Marko Puljic	[16] [18] [19]
29	Hima B. Puppala	[37]
30	Linda J. Rogers	[7]
31	Prasun K. Roy	[11]
32	Masatake Sakuma	[2]
33	John Schindler	[32]
34	Edward Tunstel	[13]
35	Ganesh K. Venayagamoorthy	[38]
36	Horatiu Voicu	[12]
37	Michael J. Watts	[4]
38	Paul J. Werbos	[24] [30] [35]
39	Derek Wong	[12] [13] [17]
40	Yoichi Yokoyama	[2]
41	Jacek M. Zurada	[1]

Colors in the list of coauthors