Robert Kozma

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 54

Top Venues

IJCNN

CoRR

SMC

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Jeffery Jonathan Joshua Davis, Florian Schübeler, Robert Kozma
Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains under Multiple Cognitive Modalities. Sensors 24 (5) (2024)
J. J. Joshua Davis, Florian Schübeler, Robert Kozma
Brain Dynamics in Engaged and Relaxed Psychophysiological States Reflecting the Creation of Knowledge and Meaning. SMC (2023)
Jeffery Jonathan Joshua Davis, Robert Kozma, Florian Schübeler
Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson's First Skewness Coefficient Extracted from EEG Data. Sensors 23 (3) (2023)
Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Robert Kozma, Bay Vo
A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation. Inf. Sci. 620 (2023)
Wenwen Ding, Juanjuan Li, Rui Qin, Robert Kozma, Fei-Yue Wang
A New Architecture and Mechanism for Decentralized Science MetaMarkets. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (2023)
Weihao Tan, Robert Kozma, Devdhar Patel
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. Knowl. Based Syst. 241 (2022)
Wenwen Ding, Jiachen Hou, Juanjuan Li, Chao Guo, Jirong Qin, Robert Kozma, Fei-Yue Wang
DeSci Based on Web3 and DAO: A Comprehensive Overview and Reference Model. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Robert Kozma, Jeffery Jonathan Joshua Davis, Florian Schübeler, Samuel S. McAfee, James W. Wheless, Detlef Heck
Respiratory Modulation of Cortical Rhythms - Testing The Phase Transition Hypothesis. SMC (2022)
Robert Kozma
Large-Scale Networks: From Intelligent Robotics to Emergency Response. SACI (2022)
Weihao Tan, Devdhar Patel, Robert Kozma
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI (2021)
Robert Kozma, Imre J. Rudas
Editorial to the 50th Anniversary Issue. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
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
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Devdhar Patel, Robert Kozma
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN (2020)
Jeffery Jonathan Davis, Florian Schübeler, Sungchul Ji, Robert Kozma
Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure. SMC (2020)
Weihao Tan, Devdhar Patel, Robert Kozma
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR (2020)
Stephen Chung, Robert Kozma
Reinforcement Learning with Feedback-modulated TD-STDP. CoRR (2020)
Jingyang Lu, Chenggang Yu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen, Robert Kozma
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. ICPR Workshops (8) (2020)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data. Ann. Math. Artif. Intell. 88 (11) (2020)
Robert Kozma
Editorial. IEEE Trans. Syst. Man Cybern. Syst. 50 (6) (2020)
Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. IJCNN (2020)
Robert Kozma, Raymond Noack, Hava T. Siegelmann
Models of Situated Intelligence Inspired by the Energy Management of Brains. SMC (2019)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data. CoRR (2019)
Svante Janson, Robert Kozma, Miklós Ruszinkó, Yury Sokolov
A modified bootstrap percolation on a random graph coupled with a lattice. Discret. Appl. Math. 258 (2019)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks 120 (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR (2019)
Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann
Minibatch Processing in Spiking Neural Networks. CoRR (2019)
Jeffery Jonathan Joshua Davis, Robert Kozma
Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves. IJCNN (2019)
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
Reinforcement learning with spiking coagents. CoRR (2019)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119 (2019)
Jeffery Jonathan Joshua Davis, Robert Kozma
Visualization of Human Cognitive States Monitored by High-density EEG Arrays. INNS Conference on Big Data (2018)
Robert Kozma, Raymond Noack, Chetan Manjesh
Neuroenergetics of Brain Operation and Implications for Energy-Aware Computing. SMC (2018)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Unsupervised Learning with Self-Organizing Spiking Neural Networks. CoRR (2018)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Unsupervised Learning with Self-Organizing Spiking Neural Networks. IJCNN (2018)
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics 12 (2018)
Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó
STDP Learning of Image Patches with Convolutional Spiking Neural Networks. IJCNN (2018)
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
BindsNET: A machine learning-oriented spiking neural networks library in Python. CoRR (2018)
Gabriel P. Andrade, Miklós Ruszinkó, Robert Kozma
Graph Models of Neurodynamics to Support Oscillatory Associative Memories. IJCNN (2018)
Robert Kozma, Roman Ilin, Hava T. Siegelmann
Evolution of Abstraction Across Layers in Deep Learning Neural Networks. INNS Conference on Big Data (2018)
Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó
STDP Learning of Image Patches with Convolutional Spiking Neural Networks. CoRR (2018)
Raymond Noack, Jeffery Jonathan Joshua Davis, Chetan Manjesh, Robert Kozma
Neuro-energetic aspects of cognition - The role of pulse-wave-pulse conversion in the interpretation of brain imaging data. SSCI (2017)
Minho Lee, Steven L. Bressler, Robert Kozma
Advances in Cognitive Engineering Using Neural Networks. Neural Networks 92 (2017)
Robert Kozma
A cognitively motivated algorithm for rapid response in emergency situations. CogSIMA (2017)
Jeffery Jonathan Joshua Davis, Robert Kozma
Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis. SSCI (2017)
Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma
Resting state neural networks and energy metabolism. IJCNN (2017)
Roman Ilin, Thomas Watson, Robert Kozma
Abstraction hierarchy in deep learning neural networks. IJCNN (2017)
Jeffrey Jonathan (Joshua) Davis, Chin-Teng Lin, Grant Gillett, Robert Kozma
An Integrative Approach to Analyze Eeg Signals and Human Brain Dynamics in Different Cognitive States. J. Artif. Intell. Soft Comput. Res. 7 (4) (2017)
Robert Kozma, Yury Sokolov, Marko Puljic, Sanqing Hu, Miklós Ruszinkó
Modeling learning and strategy formation as phase transitions in cortical networks. SMC (2016)
Catalina Elzo, Pablo A. Estévez, Robert Kozma
Modeling quasi-periodic lightcurves using neuropercolation. IJCNN (2016)
Robert Kozma
Mass action in brains and computers - a tribute to Walter J. Freeman. SMC (2016)
Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Jianhai Zhang, Ming Chen, Sanqing Hu, Yu Cao, Robert Kozma
PNN for EEG-based Emotion Recognition. SMC (2016)
Robert Kozma, Marko Puljic
Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation. Theor. Comput. Sci. 633 (2016)
Jeffery Jonathan Davis, Robert Kozma, Chin-Teng Lin, Walter J. Freeman
Spatio-temporal EEG pattern extraction using high-density scalp arrays. IJCNN (2016)
Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos
Complete stability analysis of a heuristic approximate dynamic programming control design. Autom. 59 (2015)
Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman
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 (2015)
Jayanta K. Dutta, Bonny Banerjee, Roman Ilin, Robert Kozma
Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches. CIBCI (2014)
Jeffery Jonathan Davis, Robert Kozma
Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface. CIBCI (2014)
Mark H. Myers, Robert Kozma, Jeffery Jonathan Davis, Roman Ilin
Phase cone detection optimization in EEG data. IJCNN (2014)
Yury Sokolov, Robert Kozma
Stability of dynamic brain models in neuropercolation approximation. SMC (2014)
Muhammad M. R. Khan, Khan M. Iftekharuddin, Ernest McCracken, Khandakar Islam, Sushil Bhurtel, Lan Wang, Robert Kozma
Autonomous wireless radar sensor mote for target material classification. Digit. Signal Process. 23 (3) (2013)
Mark H. Myers, Charlotte A. Joure, Carley Johnston, Aaron Canales, Akshay Padmanabha, Robert Kozma
Spatial alignment of scalp EEG activity during cognitive tasks. IJCNN (2013)
Robert Kozma, João Luís Garcia Rosa, Denis Renato de Moraes Piazentin
Cognitive clustering algorithm for efficient cybersecurity applications. IJCNN (2013)
Robert Kozma, Marko Puljic
Hierarchical random cellular neural networks for system-level brain-like signal processing. Neural Networks 45 (2013)
Robert Kozma, Marko Puljic
Learning Effects in Coupled Arrays of Cellular Neural Oscillators. Cogn. Comput. 5 (2) (2013)
Robert Kozma
The race to new mathematics of brains and consciousness - A tribute to John G. Taylor. IJCNN (2013)
Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman
Neurophysiological evidence of the cognitive cycle and the emergence of awareness. iCAST/UMEDIA (2013)
Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos
Complete stability analysis of a heuristic ADP control design. CoRR (2013)
Roman Ilin, Robert Kozma
Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models. IJCNN (2013)
Yury Sokolov, Robert Kozma
Improved stability criteria of ADP control for efficient context-aware decision support systems. iCAST/UMEDIA (2013)
Jeffery Jonathan Davis, Robert Kozma
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 (2013)
Roman Ilin, Robert Kozma
Cognitively motivated learning of categorical data with Modeling Fields Theory. IJCNN (2012)
Robert Kozma, Jeffery Jonathan Davis
On the invariance of cortical synchronization measures across a broad range of frequencies. iCAST (2012)
Gahangir Hossain, Mark H. Myers, Robert Kozma
Study of Phase Relationships in ECoG Signals Using Hilbert-Huang Transforms. BICS (2012)
Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks 32 (2012)
Germano Resconi, Robert Kozma
Geometric Image of Neurodynamics. IJCCI (2012)
Jeffery Jonathan Davis, Robert Kozma
Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures. IJCNN (2012)
Walter J. Freeman, Robert Kozma, Giuseppe Vitiello
Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex. IJCNN (2012)
Germano Resconi, Robert Kozma
Geometric Syncronisation by Multi-pendulum and Electronic Models of Neurodynamics. IJCCI (Selected Papers) (2012)
Robert Kozma, Lan Wang, Khan M. Iftekharuddin, Ernest McCracken, Muhammad M. R. Khan, Khandakar Islam, Sushil Bhurtel, Rustu Murat Demirer
A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking. Sensors 12 (2) (2012)
Giovanni Egidio Pazienza, Robert Kozma, Jordi Albo-Canals
Percolation in memristive networks. IJCNN (2011)
Robert Kozma
Neural correlates of awareness in brains and in man-made devices. iCAST (2011)
Mark H. Myers, Robert Kozma
Modeling normal/epileptic brain dynamics with potential application in titration therapy. IJCNN (2011)
Giovanni Egidio Pazienza, Robert Kozma
Memristor as an archetype of dynamic data-driven systems and applications to sensor networks. ICCS (2011)
Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
Metamodeling for large-scale optimization tasks based on object networks. IJCNN (2011)
Walter J. Freeman, Robert Kozma
Freeman's mass action. Scholarpedia 5 (1) (2010)
Robert Kozma, Marko Puljic
Chaotic behavior in probabilistic cellular neural networks. IJCNN (2010)
Marko Puljic, Robert Kozma
Broad-band Oscillations by Probabilistic Cellular Automata. J. Cell. Autom. 5 (6) (2010)
Robert Kozma, Steven L. Bressler, Leonid I. Perlovsky, Ganesh K. Venayagamoorthy
Advances in neural networks research: An introduction. Neural Networks 22 (5-6) (2009)
Robert Kozma, Daniel S. Levine, Leonid I. Perlovsky
Introduction to the special issue on goal-directed neural systems. Neural Networks 22 (3) (2009)
Robert Kozma, Walter J. Freeman
Neurodynamics of cognition and consciousness. PerMIS (2009)
Robert Kozma, Walter J. Freeman
The KIV model of intentional dynamics and decision making. Neural Networks 22 (3) (2009)
Mark H. Myers, Robert Kozma
Seizure prediction through dynamic synchronization measures of neural populations. IJCNN (2009)
Robert Kozma
2009 International Joint Conference on Neural Networks (IJCNN 2009) [Conference Reports]. IEEE Comput. Intell. Mag. 4 (4) (2009)
Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu
A new nonlinear filter design for the detection of phase transitions in ECoG data. IJCNN (2009)
Roman Ilin, Robert Kozma
Sensor integration in KIV brain model for decision making. IJCNN (2009)
Roman Ilin, Robert Kozma, Paul J. Werbos
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks 19 (6) (2008)
Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward W. Tunstel, Roman Ilin, Walter J. Freeman
Intentional Control for Planetary Rover SRR. Adv. Robotics 22 (12) (2008)
Hima B. Puppala, Robert Kozma
Identification of phase transitions in simulated EEG signals. IJCNN (2008)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robert Kozma