Robert Kozma, Fellow IEEE, Fellow INNS
Robert Kozma, Fellow IEEE, Fellow INNS
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Cited by
Students becoming chemists: Developing representational competence
R Kozma, J Russell
Visualization in science education 1, 121-146, 2005
Combining negative selection and classification techniques for anomaly detection
F Gonzalez, D Dasgupta, R Kozma
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
Chaotic resonance—methods and applications for robust classification of noisy and variable patterns
R Kozma, WJ Freeman
International Journal of Bifurcation and chaos 11 (06), 1607-1629, 2001
Bindsnet: A machine learning-oriented spiking neural networks library in python
H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ...
Frontiers in neuroinformatics 12, 89, 2018
Breathing as a fundamental rhythm of brain function
DH Heck, SS McAfee, Y Liu, A Babajani-Feremi, R Rezaie, WJ Freeman, ...
Frontiers in neural circuits 10, 115, 2017
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
R Kozma, M Puljic, P Balister, B Bollobás, WJ Freeman
Biological cybernetics 92, 367-379, 2005
Biocomplexity: adaptive behavior in complex stochastic dynamical systems
WJ Freeman, R Kozma, PJ Werbos
Biosystems 59 (2), 109-123, 2001
Advances in neuromorphic memristor science and applications
R Kozma, RE Pino, GE Pazienza
Springer Science & Business Media, 2012
Introduction: Hybrid intelligent adaptive systems
N Kasabov, R Kozma
International Journal of Intelligent Systems 13 (6), 453-454, 1998
Neurodynamics of Cognition and Consciousness (Understanding Complex Systems)
LI Perlovsky, R Kozma
Neurodynamics of cognition and consciousness
LI Perlovsky, R Kozma
Neurodynamics of cognition and consciousness, 1-8, 2007
Neurodynamics of cognition and consciousness
LI Perlovsky, R Kozma
Neurodynamics of cognition and consciousness, 1-8, 2007
Complete stability analysis of a heuristic approximate dynamic programming control design
Y Sokolov, R Kozma, LD Werbos, PJ Werbos
Automatica 59, 9-18, 2015
The KIV model—nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain
R Kozma, WJ Freeman, P Erdi
Neurocomputing 52, 819-826, 2003
Beyond feedforward models trained by backpropagation: A practical training tool for a more efficient universal approximator
R Ilin, R Kozma, PJ Werbos
IEEE Transactions on Neural Networks 19 (6), 929-937, 2008
Basic principles of the KIV model and its application to the navigation problem
R Kozma, WJ Freeman
Journal of Integrative Neuroscience 2 (01), 125-145, 2003
Handbook of large-scale random networks
B Bollobás, R Kozma, D Miklos
Springer Science & Business Media, 2010
The rhythm of memory: how breathing shapes memory function
DH Heck, R Kozma, LM Kay
Journal of neurophysiology 122 (2), 563-571, 2019
Intermittent spatio-temporal desynchronization and sequenced synchrony in ECoG signals
R Kozma, WJ Freeman
Chaos: An Interdisciplinary Journal of Nonlinear Science 18 (3), 2008
Chaotic neurodynamics for autonomous agents
D Harter, R Kozma
IEEE Transactions on Neural Networks 16 (3), 565-579, 2005
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