Robert Kozma, Fellow IEEE, Fellow INNS
Robert Kozma, Fellow IEEE, Fellow INNS
University of Memphis, TN, USA & Óbuda University, Budapest, Hungary
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Cited by
Cited by
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
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
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
Th e Use of Multiple Representations and the Social Construction of Understanding in Chemistry
RB Kozma
Innovations in science and mathematics education, 24-59, 2012
The use of multiple, linked representations to facilitate science understanding
RB Kozma, J Russell, T Jones, N Marx, J Davis
International perspectives on the design of technology-supported learning …, 2012
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
The technological revolution comes to the classroom
ROB KOzma, J Johnston
Change: The Magazine of Higher Learning 23 (1), 10-23, 1991
Biocomplexity: adaptive behavior in complex stochastic dynamical systems
WJ Freeman, R Kozma, PJ Werbos
Biosystems 59 (2), 109-123, 2001
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
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
Complete stability analysis of a heuristic approximate dynamic programming control design
Y Sokolov, R Kozma, LD Werbos, PJ Werbos
Automatica 59, 9-18, 2015
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
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
The KIV model—nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain
R Kozma, WJ Freeman, P Erdi
Neurocomputing 52, 819-826, 2003
The rhythm of memory: how breathing shapes memory function
DH Heck, R Kozma, LM Kay
Journal of neurophysiology 122 (2), 563-571, 2019
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
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