Robert Kozma - RankMe

182 papers A* 3A 2B 64C 2Misc 5Journal 73Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Farewell Editorial: Dynamic Development - Past, Present, and Future. IEEE Trans. Syst. Man Cybern. Syst. Robert Kozma
2025	B	`conf`	A Transition Probability Matrix Approach to Brain Dynamics - A Quantitative Analysis of EEG Sequences. SMC Jeffery Jonathan Joshua Davis, Robert Kozma
2025	B	`conf`	Coordination Dynamics in Cognitive Robotics Using Brain-Inspired Neural Systems. SMC Robert Kozma, Imre J. Rudas, Levente Kovács
2025	B	`conf`	Position Paper on the Role of Sequential Switches in Human Cognition and Supporting Sustainable AI. IJCNN Robert Kozma, Jeffery Jonathan Joshua Davis
2025	J	`jnl`	Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. IEEE Trans. Neural Networks Learn. Syst. Phu Pham, Quang-Thinh Bui, Ngoc Thanh Nguyen, Robert Kozma, Philip S. Yu, Bay Vo
2024	—	`conf`	A Systemic and Semiotic Approach to Thoughts and Meaning Creation Manifested in Intentional Actions. SCIS/ISIS Jeffery Jonathan Joshua Davis, Florian Schübeler, Robert Kozma
2024	B	`conf`	Cinematic Theory of Cognition and Consciousness - Implications for Efficient Human-Computer Interactions. SMC Robert Kozma, Bernard J. Baars, Natalie Geld
2024	J	`jnl`	Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains under Multiple Cognitive Modalities. Sensors Jeffery Jonathan Joshua Davis, Florian Schübeler, Robert Kozma
2024	B	`conf`	Large-Scale Synchronization Transients Serving as Neural Substrates of Consciousness. IJCNN Robert Kozma
2024	—	`conf`	Sustainable Artificial Intelligence Must Be Aware of Its Body and the Environment. SCIS/ISIS Robert Kozma
2023	J	`jnl`	A New Architecture and Mechanism for Decentralized Science MetaMarkets. IEEE Trans. Syst. Man Cybern. Syst. Wenwen Ding, Juanjuan Li, Rui Qin, Robert Kozma, Fei-Yue Wang
2023	J	`jnl`	A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation. Inf. Sci. Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Robert Kozma, Bay Vo
2023	J	`jnl`	Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson's First Skewness Coefficient Extracted from EEG Data. Sensors Jeffery Jonathan Joshua Davis, Robert Kozma, Florian Schübeler
2023	B	`conf`	Brain Dynamics in Engaged and Relaxed Psychophysiological States Reflecting the Creation of Knowledge and Meaning. SMC Jeffery Jonathan Joshua Davis, Florian Schübeler, Robert Kozma
2022	J	`jnl`	DeSci Based on Web3 and DAO: A Comprehensive Overview and Reference Model. IEEE Trans. Comput. Soc. Syst. Wenwen Ding, Jiachen Hou, Juanjuan Li, Chao Guo, Jirong Qin, Robert Kozma, Fei-Yue Wang
2022	Misc	`conf`	Large-Scale Networks: From Intelligent Robotics to Emergency Response. SACI Robert Kozma
2022	J	`jnl`	Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. Knowl. Based Syst. Weihao Tan, Robert Kozma, Devdhar Patel
2022	B	`conf`	Respiratory Modulation of Cortical Rhythms - Testing The Phase Transition Hypothesis. SMC Robert Kozma, Jeffery Jonathan Joshua Davis, Florian Schübeler, Samuel S. McAfee, James W. Wheless, Detlef H. Heck
2021	J	`jnl`	Editorial to the 50th Anniversary Issue. IEEE Trans. Syst. Man Cybern. Syst. Robert Kozma, Imre J. Rudas
2021	A*	`conf`	Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI Weihao Tan, Devdhar Patel, Robert Kozma
2021	J	`jnl`	Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man Cybern. Syst. Edward W. Tunstel, Manuel J. Cobo, Enrique Herrera-Viedma, Imre J. Rudas, Dimitar P. Filev, Ljiljana Trajkovic, C. L. Philip Chen, Witold Pedrycz, Michael H. Smith, Robert Kozma
2020	—	`conf`	Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. ICPR Workshops (8) Jingyang Lu, Chenggang Yu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen, Robert Kozma
2020	B	`conf`	Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure. SMC Jeffery Jonathan Davis, Florian Schübeler, Sungchul Ji, Robert Kozma
2020	J	`jnl`	Editorial. IEEE Trans. Syst. Man Cybern. Syst. Robert Kozma
2020	J	`jnl`	Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data. Ann. Math. Artif. Intell. Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2020	B	`conf`	Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. IJCNN Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann
2020	J	`jnl`	Reinforcement Learning with Feedback-modulated TD-STDP. CoRR Stephen Chung, Robert Kozma
2020	J	`jnl`	Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR Weihao Tan, Devdhar Patel, Robert Kozma
2020	B	`conf`	Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN Devdhar Patel, Robert Kozma
2019	J	`jnl`	A modified bootstrap percolation on a random graph coupled with a lattice. Discret. Appl. Math. Svante Janson, Robert Kozma, Miklós Ruszinkó, Yury Sokolov
2019	J	`jnl`	Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019	B	`conf`	Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves. IJCNN Jeffery Jonathan Joshua Davis, Robert Kozma
2019	J	`jnl`	Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data. CoRR Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Locally connected spiking neural networks for unsupervised feature learning. Neural Networks Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Minibatch Processing in Spiking Neural Networks. CoRR Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann
2019	B	`conf`	Models of Situated Intelligence Inspired by the Energy Management of Brains. SMC Robert Kozma, Raymond Noack, Hava T. Siegelmann
2019	—	`ch.`	Movie-Making of Spatiotemporal Dynamics in Complex Systems. Encyclopedia of Computer Graphics and Games Jeffery Jonathan Joshua Davis, Robert Kozma
2019	J	`jnl`	Reinforcement learning with spiking coagents. CoRR Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
2019	—	`ch.`	Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG. Encyclopedia of Computer Graphics and Games Jeffery Jonathan Joshua Davis, Robert Kozma, Florian Schübeler
2018	J	`jnl`	BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018	J	`jnl`	BindsNET: A machine learning-oriented spiking neural networks library in Python. CoRR Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018	—	`conf`	Evolution of Abstraction Across Layers in Deep Learning Neural Networks. INNS Conference on Big Data Robert Kozma, Roman Ilin, Hava T. Siegelmann
2018	B	`conf`	Graph Models of Neurodynamics to Support Oscillatory Associative Memories. IJCNN Gabriel P. Andrade, Miklós Ruszinkó, Robert Kozma
2018	B	`conf`	Neuroenergetics of Brain Operation and Implications for Energy-Aware Computing. SMC Robert Kozma, Raymond Noack, Chetan Manjesh
2018	B	`conf`	STDP Learning of Image Patches with Convolutional Spiking Neural Networks. IJCNN Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó
2018	J	`jnl`	STDP Learning of Image Patches with Convolutional Spiking Neural Networks. CoRR Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó
2018	B	`conf`	Unsupervised Learning with Self-Organizing Spiking Neural Networks. IJCNN Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018	J	`jnl`	Unsupervised Learning with Self-Organizing Spiking Neural Networks. CoRR Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018	—	`conf`	Visualization of Human Cognitive States Monitored by High-density EEG Arrays. INNS Conference on Big Data Jeffery Jonathan Joshua Davis, Robert Kozma
2017	Misc	`conf`	A cognitively motivated algorithm for rapid response in emergency situations. CogSIMA Robert Kozma
2017	B	`conf`	Abstraction hierarchy in deep learning neural networks. IJCNN Roman Ilin, Thomas Watson, Robert Kozma
2017	J	`jnl`	Advances in Cognitive Engineering Using Neural Networks. Neural Networks Minho Lee, Steven L. Bressler, Robert Kozma
2017	—	`conf`	Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis. SSCI Jeffery Jonathan Joshua Davis, Robert Kozma
2017	J	`jnl`	An Integrative Approach to Analyze Eeg Signals and Human Brain Dynamics in Different Cognitive States. J. Artif. Intell. Soft Comput. Res. Jeffrey Jonathan (Joshua) Davis, Chin-Teng Lin, Grant Gillett, Robert Kozma
2017	—	`conf`	Neuro-energetic aspects of cognition - The role of pulse-wave-pulse conversion in the interpretation of brain imaging data. SSCI Raymond Noack, Jeffery Jonathan Joshua Davis, Chetan Manjesh, Robert Kozma
2017	B	`conf`	Resting state neural networks and energy metabolism. IJCNN Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma
2016	J	`jnl`	Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE Trans. Neural Networks Learn. Syst. Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma
2016	B	`conf`	Mass action in brains and computers - a tribute to Walter J. Freeman. SMC Robert Kozma
2016	B	`conf`	Modeling learning and strategy formation as phase transitions in cortical networks. SMC Robert Kozma, Yury Sokolov, Marko Puljic, Sanqing Hu, Miklós Ruszinkó
2016	B	`conf`	Modeling quasi-periodic lightcurves using neuropercolation. IJCNN Catalina Elzo, Pablo A. Estévez, Robert Kozma
2016	B	`conf`	PNN for EEG-based Emotion Recognition. SMC Jianhai Zhang, Ming Chen, Sanqing Hu, Yu Cao, Robert Kozma
2016	J	`jnl`	Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation. Theor. Comput. Sci. Robert Kozma, Marko Puljic
2016	B	`conf`	Spatio-temporal EEG pattern extraction using high-density scalp arrays. IJCNN Jeffery Jonathan Davis, Robert Kozma, Chin-Teng Lin, Walter J. Freeman
2015	J	`jnl`	Complete stability analysis of a heuristic approximate dynamic programming control design. Autom. Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos
2015	—	`ch.`	Neurodynamics. Handbook of Computational Intelligence Robert Kozma, Jun Wang, Zhigang Zeng
2015	—	`conf`	The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain Imaging Using Brain Dynamics Movies. INNS Conference on Big Data Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman
2014	—	`conf`	Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches. CIBCI Jayanta K. Dutta, Bonny Banerjee, Roman Ilin, Robert Kozma
2014	—	`ch.`	Neural Mass Action. Encyclopedia of Computational Neuroscience Robert Kozma
2014	—	`ch.`	Neuropercolation and Neural Population Models. Encyclopedia of Computational Neuroscience Robert Kozma
2014	B	`conf`	Phase cone detection optimization in EEG data. IJCNN Mark H. Myers, Robert Kozma, Jeffery Jonathan Davis, Roman Ilin
2014	—	`conf`	Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface. CIBCI Jeffery Jonathan Davis, Robert Kozma
2014	B	`conf`	Stability of dynamic brain models in neuropercolation approximation. SMC Yury Sokolov, Robert Kozma
2013	J	`jnl`	Autonomous wireless radar sensor mote for target material classification. Digit. Signal Process. Muhammad M. R. Khan, Khan M. Iftekharuddin, Ernest McCracken, Khandakar Islam, Sushil Bhurtel, Lan Wang, Robert Kozma
2013	B	`conf`	Cognitive clustering algorithm for efficient cybersecurity applications. IJCNN Robert Kozma, João Luís Garcia Rosa, Denis Renato de Moraes Piazentin
2013	J	`jnl`	Complete stability analysis of a heuristic ADP control design. CoRR Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos
2013	—	`conf`	Creation of knowledge & meaning manifested via cortical singularities in cognition: Towards a methodology to understand intentionality and critical behavior in neural correlates of awareness. CCMB Jeffery Jonathan Davis, Robert Kozma
2013	B	`conf`	Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models. IJCNN Roman Ilin, Robert Kozma
2013	J	`jnl`	Hierarchical random cellular neural networks for system-level brain-like signal processing. Neural Networks Robert Kozma, Marko Puljic
2013	—	`conf`	Improved stability criteria of ADP control for efficient context-aware decision support systems. iCAST/UMEDIA Yury Sokolov, Robert Kozma
2013	J	`jnl`	Learning Effects in Coupled Arrays of Cellular Neural Oscillators. Cogn. Comput. Robert Kozma, Marko Puljic
2013	—	`conf`	Neurophysiological evidence of the cognitive cycle and the emergence of awareness. iCAST/UMEDIA Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman
2013	B	`conf`	Spatial alignment of scalp EEG activity during cognitive tasks. IJCNN Mark H. Myers, Charlotte A. Joure, Carley Johnston, Aaron Canales, Akshay Padmanabha, Robert Kozma
2013	B	`conf`	The race to new mathematics of brains and consciousness - A tribute to John G. Taylor. IJCNN Robert Kozma
2012	J	`jnl`	A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking. Sensors Robert Kozma, Lan Wang, Khan M. Iftekharuddin, Ernest McCracken, Muhammad M. R. Khan, Khandakar Islam, Sushil Bhurtel, Rustu Murat Demirer
2012	B	`conf`	Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex. IJCNN Walter J. Freeman, Robert Kozma, Giuseppe Vitiello
2012	B	`conf`	Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures. IJCNN Jeffery Jonathan Davis, Robert Kozma
2012	B	`conf`	Cognitively motivated learning of categorical data with Modeling Fields Theory. IJCNN Roman Ilin, Robert Kozma
2012	C	`conf`	Geometric Image of Neurodynamics. IJCCI Germano Resconi, Robert Kozma
2012	—	`conf`	Geometric Syncronisation by Multi-pendulum and Electronic Models of Neurodynamics. IJCCI (Selected Papers) Germano Resconi, Robert Kozma
2012	J	`jnl`	Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
2012	—	`conf`	On the invariance of cortical synchronization measures across a broad range of frequencies. iCAST Robert Kozma, Jeffery Jonathan Davis
2012	—	`conf`	Study of Phase Relationships in ECoG Signals Using Hilbert-Huang Transforms. BICS Gahangir Hossain, Mark H. Myers, Robert Kozma
2011	Misc	`conf`	Memristor as an archetype of dynamic data-driven systems and applications to sensor networks. ICCS Giovanni Egidio Pazienza, Robert Kozma
2011	B	`conf`	Metamodeling for large-scale optimization tasks based on object networks. IJCNN Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
2011	B	`conf`	Modeling normal/epileptic brain dynamics with potential application in titration therapy. IJCNN Mark H. Myers, Robert Kozma
2011	—	`conf`	Neural correlates of awareness in brains and in man-made devices. iCAST Robert Kozma
2011	B	`conf`	Percolation in memristive networks. IJCNN Giovanni Egidio Pazienza, Robert Kozma, Jordi Albo-Canals
2010	J	`jnl`	Broad-band Oscillations by Probabilistic Cellular Automata. J. Cell. Autom. Marko Puljic, Robert Kozma
2010	B	`conf`	Chaotic behavior in probabilistic cellular neural networks. IJCNN Robert Kozma, Marko Puljic
2010	J	`jnl`	Freeman's mass action. Scholarpedia Walter J. Freeman, Robert Kozma
2009	J	`jnl`	2009 International Joint Conference on Neural Networks (IJCNN 2009) [Conference Reports]. IEEE Comput. Intell. Mag. Robert Kozma
2009	B	`conf`	A new nonlinear filter design for the detection of phase transitions in ECoG data. IJCNN Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu
2009	J	`jnl`	Advances in neural networks research: An introduction. Neural Networks Robert Kozma, Steven L. Bressler, Leonid I. Perlovsky, Ganesh K. Venayagamoorthy
2009	J	`jnl`	Introduction to the special issue on goal-directed neural systems. Neural Networks Robert Kozma, Daniel S. Levine, Leonid I. Perlovsky
2009	—	`conf`	Neurodynamics of cognition and consciousness. PerMIS Robert Kozma, Walter J. Freeman
2009	B	`conf`	Seizure prediction through dynamic synchronization measures of neural populations. IJCNN Mark H. Myers, Robert Kozma
2009	B	`conf`	Sensor integration in KIV brain model for decision making. IJCNN Roman Ilin, Robert Kozma
2009	J	`jnl`	The KIV model of intentional dynamics and decision making. Neural Networks Robert Kozma, Walter J. Freeman
2008	J	`jnl`	Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks Roman Ilin, Robert Kozma, Paul J. Werbos
2008	B	`conf`	Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures. IJCNN Robert Kozma, Leonid I. Perlovsky, JaiSantosh Ankishetty
2008	B	`conf`	Identification of phase transitions in simulated EEG signals. IJCNN Hima B. Puppala, Robert Kozma
2008	J	`jnl`	Intentional Control for Planetary Rover SRR. Adv. Robotics Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward W. Tunstel, Roman Ilin, Walter J. Freeman
2007	J	`jnl`	Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator CoRR Roman Ilin, Robert Kozma, Paul J. Werbos
2007	J	`jnl`	Computational Aspects of Cognition and Consciousness in Intelligent Devices. IEEE Comput. Intell. Mag. Robert Kozma, Hrand Aghazarian, Terry Huntsberger, Eddie Tunstel, Walter J. Freeman
2007	B	`conf`	Control of multi-stable chaotic neural networks using input constraints. IJCNN Roman Ilin, Robert Kozma
2007	B	`conf`	Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. IJCNN Robert Kozma, Ross W. Deming, Leonid I. Perlovsky
2007	A	`conf`	Implementing intentional robotics principles using SSR2K platform. IROS Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Walter J. Freeman
2007	J	`jnl`	Neuropercolation. Scholarpedia Robert Kozma
2007	B	`conf`	Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. IJCNN Robert Linnehan, John Schindler, David Brady, Robert Kozma, Ross W. Deming, Leonid I. Perlovsky
2007	J	`jnl`	Time series prediction using chaotic neural networks on the CATS benchmark. Neurocomputing Igor Beliaev, Robert Kozma
2006	J	`jnl`	Aperiodic dynamics and the self-organization of cognitive maps in autonomous agents. Int. J. Intell. Syst. Derek Harter, Robert Kozma
2006	—	`conf`	Biomedical Hypothesis Generation and Testing by Evolutionary Computation. DMIN Robert Kozma, Anna L. Buczak
2006	B	`conf`	Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN Roman Ilin, Robert Kozma, Paul J. Werbos
2006	B	`conf`	Influence of Criticality on 1/f IJCNN Robert Kozma
2006	J	`jnl`	Intentional dynamic systems: Fundamental concepts and applications. Int. J. Intell. Syst. Robert Kozma, Toshio Fukuda
2006	J	`jnl`	Large deviations for mean field models of probabilistic cellular automata. Random Struct. Algorithms Paul N. Balister, Béla Bollobás, Robert Kozma
2006	B	`conf`	Studies on Sparse Array Cortical Modeling and Memory Cognition Duality. IJCNN Kausik Kumar Majumdar, Robert Kozma
2006	B	`conf`	Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks. IJCNN Igor Beliaev, Robert Kozma
2005	B	`conf`	A Novel Approach to Distributed Sensory Networks Using Biologically-Inspired Sensory Fusion. SMC Robert Kozma, Edward W. Tunstel
2005	B	`conf`	A chaos synchronization-based dynamic vision model for image segmentation. IJCNN Hanif Azhar, Khan Iftekharuddin, Robert Kozma
2005	J	`jnl`	Activation clustering in neural and social networks. Complex. Marko Puljic, Robert Kozma
2005	B	`conf`	Analysis of phase transitions in KIV with amygdala during simulated navigation control. IJCNN Robert Kozma, Mark Myers
2005	J	`jnl`	Chaotic neurodynamics for autonomous agents. IEEE Trans. Neural Networks Derek Harter, Robert Kozma
2005	J	`jnl`	Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation. Neurocomputing Robert Kozma, Derek Wong, Rustu Murat Demirer, Walter J. Freeman
2005	B	`conf`	Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. SMC Igor Beliaev, Roman Ilin, Robert Kozma
2005	J	`jnl`	Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biol. Cybern. Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman
2005	B	`conf`	Stability conditions of the full KII model of excitatory and inhibitory neural populations. IJCNN Roman Ilin, Robert Kozma
2004	Misc	`conf`	Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents. FLAIRS Derek Harter, Robert Kozma
2004	A*	`conf`	Aperiodic Dynamics for Appetitive/aversive Behavior in Autonomous Agents. ICRA Derek Harter, Robert Kozma
2004	B	`conf`	Applying KIV dynamic neural network model for real time navigation by mobile robot EMMA. IJCNN Sangeeta Muthu, Robert Kozma, Walter J. Freeman
2004	J	`jnl`	Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. IEEE Trans. Neural Networks DeLiang Wang, Walter J. Freeman, Robert Kozma, Andrzej Lozowski, Ali A. Minai
2004	A	`conf`	Implementing reinforcement learning in the chaotic KIV model using mobile robot AIBO. IROS Robert Kozma, Sangeeta Muthu
2004	J	`jnl`	Learning environmental clues in the KIV model of the cortico-hippocampal formation. Neurocomputing Robert Kozma, Walter J. Freeman, Derek Wong, Péter Érdi
2004	A*	`conf`	Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model. ICRA Derek Wong, Robert Kozma, Edward W. Tunstel, Walter J. Freeman
2004	—	`conf`	Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics. ACRI Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman
2004	B	`conf`	On noise induced resonances in neurodynamic models. IJCNN Robert Kozma
2004	J	`jnl`	Spatial navigation model based on chaotic attractor networks. Connect. Sci. Horatiu Voicu, Robert Kozma, Derek Wong, Walter J. Freeman
2004	B	`conf`	Studies on the conditions of limit cycle oscillations in the K2 models of neural populations. IJCNN Roman Ilin, Robert Kozma, Walter J. Freeman
2004	B	`conf`	Time series prediction using chaotic neural networks: case study of IJCNN CATS benchmark test. IJCNN Robert Kozma, Igor Beliaev
2003	B	`conf`	A dynamic neural network method for time series prediction using the KIII model. IJCNN Haizhon Li, Robert Kozma
2003	B	`conf`	Dynamical neural network algorithm for autonomous learning and navigation control. SMC Robert Kozma, Horatiu Voicu, Derek Wong, Walter J. Freeman
2003	B	`conf`	Learning spatial navigation using chaotic neural network model. IJCNN Robert Kozma, Prashant Ankaraju
2003	B	`conf`	Phase transitions in a probabilistic cellular neural network model having local and remote connections. IJCNN Marko Puljic, Robert Kozma
2003	J	`jnl`	The KIV model - nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain. Neurocomputing Robert Kozma, Walter J. Freeman, Péter Érdi
2002	J	`jnl`	Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. Neurocomputing Robert Kozma, Walter J. Freeman
2002	B	`conf`	Combining negative selection and classification techniques for anomaly detection. IEEE Congress on Evolutionary Computation Fabio A. González, Dipankar Dasgupta, Robert Kozma
2002	J	`jnl`	From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems. IEEE Trans. Evol. Comput. Prasun K. Roy, Robert Kozma, D. Dutta Majumder
2002	B	`conf`	Neurofuzzy recognition and generation of facial features in talking heads. FUZZ-IEEE Max H. Garzon, Prashant Ankaraju, Evan M. Drumwright, Robert Kozma
2001	J	`jnl`	Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns. Int. J. Bifurc. Chaos Robert Kozma, Walter J. Freeman
2001	C	`conf`	Control of mesoscopic/intermediate-range spatio-temporal chaos in the cortex. ACC Robert Kozma, Walter J. Freeman
2001	J	`jnl`	Emergence of un-correlated common-mode oscillations in the sensory cortex. Neurocomputing Robert Kozma, Maritza Alvarado, Linda J. Rogers, Brian Lau, Walter J. Freeman
2001	J	`jnl`	Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov, Jaesoo Kim, Robert Kozma, Tico Cohen
2001	Misc	`conf`	Task Environments for the Dynamic Development of Behavior. International Conference on Computational Science (2) Derek Harter, Robert Kozma
2000	—	`conf`	Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains. IJCNN (5) Robert Kozma, Walter J. Freeman
2000	J	`jnl`	Methods and systems for intelligent human-computer interaction. Inf. Sci. Nikola K. Kasabov, Robert Kozma
1999	B	`conf`	A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfaction. IJCNN Robert Kozma, Walter J. Freeman
1998	J	`jnl`	Editorial: Self-Organization and Adaptation in Intelligent Systems. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov, Robert Kozma
1998	J	`jnl`	Hybrid intelligent adaptive systems: A framework and a case study on speech recognition. Int. J. Intell. Syst. Nikola K. Kasabov, Robert Kozma
1998	J	`jnl`	Integration of connectionist methods and chaotic time-series analysis for the prediction of process data. Int. J. Intell. Syst. Robert Kozma, Nikola K. Kasabov, Jaesoo Kim, Tico Cohen
1998	J	`jnl`	Introduction: Hybrid intelligent adaptive systems. Int. J. Intell. Syst. Nikola K. Kasabov, Robert Kozma
1998	J	`jnl`	Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. Inf. Sci. Nikola K. Kasabov, Robert Kozma, Michael J. Watts
1998	—	`ed.`	Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume I, Dunedin, New Zealand, 24-28 November, 1997 ICONIP (1) Nikola K. Kasabov, Robert Kozma, Kitty Ko, Robert O'Shea, George G. Coghill, Tom Gedeon
1998	—	`ed.`	Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume II, Dunedin, New Zealand, 24-28 November, 1997 ICONIP (2) Nikola K. Kasabov, Robert Kozma, Kitty Ko, Robert O'Shea, George G. Coghill, Tom Gedeon
1997	—	`conf`	A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. ICONIP (2) Nikola K. Kasabov, Robert Kozma, Richard Kilgour, Mark R. Laws, J. Taylor, Michael J. Watts, Andrew R. Gray
1997	—	`conf`	Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks. ICONIP (1) Robert Kozma, J. A. Swope, Nikola K. Kasabov, M. J. A. Williams
1997	—	`conf`	On the conscious and subconscious components of knowledge representation in neural networks. ICNN Robert Kozma
1996	J	`jnl`	On the accuracy of mapping by neural networks trained by backpropagation with forgetting. Neurocomputing Robert Kozma, Masatake Sakuma, Yoichi Yokoyama, Masaharu Kitamura
1995	J	`jnl`	An Adaptive Neuro-Fuzzy Signal Processing Method By Using Structural Learning with Forgetting. Intell. Autom. Soft Comput. Robert Kozma, Masatake Sakuma, S. Sato, Masaharu Kitamura
1995	—	`conf`	Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring. ICNN Robert Kozma, Masaharu Kitamura
1995	—	`conf`	On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. ANNES Robert Kozma, Masaharu Kitamura, Aleksander Malinowski, Jacek M. Zurada