Robert Kozma

According to our database1, Robert Kozma authored at least 107 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of two.

Timeline

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Bibliography

2019
Locally connected spiking neural networks for unsupervised feature learning.
Neural Networks, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019

A modified bootstrap percolation on a random graph coupled with a lattice.
Discret. Appl. Math., 2019

Reinforcement learning with spiking coagents.
CoRR, 2019

Minibatch Processing in Spiking Neural Networks.
CoRR, 2019

Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data.
CoRR, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019

Models of Situated Intelligence Inspired by the Energy Management of Brains.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Frontiers Neuroinformatics, 2018

BindsNET: A machine learning-oriented spiking neural networks library in Python.
CoRR, 2018

Neuroenergetics of Brain Operation and Implications for Energy-Aware Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Visualization of Human Cognitive States Monitored by High-density EEG Arrays.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Evolution of Abstraction Across Layers in Deep Learning Neural Networks.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

STDP Learning of Image Patches with Convolutional Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Unsupervised Learning with Self-Organizing Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Graph Models of Neurodynamics to Support Oscillatory Associative Memories.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Advances in Cognitive Engineering Using Neural Networks.
Neural Networks, 2017

Neuro-energetic aspects of cognition - The role of pulse-wave-pulse conversion in the interpretation of brain imaging data.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Resting state neural networks and energy metabolism.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Abstraction hierarchy in deep learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery.
IEEE Trans. Neural Networks Learn. Syst., 2016

Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation.
Theor. Comput. Sci., 2016

PNN for EEG-based Emotion Recognition.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Modeling learning and strategy formation as phase transitions in cortical networks.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Modeling quasi-periodic lightcurves using neuropercolation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Spatio-temporal EEG pattern extraction using high-density scalp arrays.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Neurodynamics.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Complete stability analysis of a heuristic approximate dynamic programming control design.
Autom., 2015

The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain Imaging Using Brain Dynamics Movies.
Proceedings of the INNS Conference on Big Data 2015, 2015

2014
Stability of dynamic brain models in neuropercolation approximation.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Phase cone detection optimization in EEG data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014

Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014

2013
Hierarchical random cellular neural networks for system-level brain-like signal processing.
Neural Networks, 2013

Autonomous wireless radar sensor mote for target material classification.
Digit. Signal Process., 2013

Complete stability analysis of a heuristic ADP control design.
CoRR, 2013

Learning Effects in Coupled Arrays of Cellular Neural Oscillators.
Cogn. Comput., 2013

Spatial alignment of scalp EEG activity during cognitive tasks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Improved stability criteria of ADP control for efficient context-aware decision support systems.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

Neurophysiological evidence of the cognitive cycle and the emergence of awareness.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

Creation of knowledge & meaning manifested via cortical singularities in cognition: Towards a methodology to understand intentionality and critical behavior in neural correlates of awareness.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

2012
A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking.
Sensors, 2012

Metamodeling and the Critic-based approach to multi-level optimization.
Neural Networks, 2012

Cognitively motivated learning of categorical data with Modeling Fields Theory.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On the invariance of cortical synchronization measures across a broad range of frequencies.
Proceedings of the 4th International Conference on Awareness Science and Technology, 2012

Study of Phase Relationships in ECoG Signals Using Hilbert-Huang Transforms.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2011
Memristor as an archetype of dynamic data-driven systems and applications to sensor networks.
Proceedings of the International Conference on Computational Science, 2011

Metamodeling for large-scale optimization tasks based on object networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Percolation in memristive networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Modeling normal/epileptic brain dynamics with potential application in titration therapy.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Freeman's mass action.
Scholarpedia, 2010

Broad-band Oscillations by Probabilistic Cellular Automata.
J. Cell. Autom., 2010

Chaotic behavior in probabilistic cellular neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Introduction to the special issue on goal-directed neural systems.
Neural Networks, 2009

The KIV model of intentional dynamics and decision making.
Neural Networks, 2009

Advances in neural networks research: An introduction.
Neural Networks, 2009

Neurodynamics of cognition and consciousness.
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems, 2009

Seizure prediction through dynamic synchronization measures of neural populations.
Proceedings of the International Joint Conference on Neural Networks, 2009

Sensor integration in KIV brain model for decision making.
Proceedings of the International Joint Conference on Neural Networks, 2009

A new nonlinear filter design for the detection of phase transitions in ECoG data.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.
IEEE Trans. Neural Networks, 2008

Intentional Control for Planetary Rover SRR.
Adv. Robotics, 2008

Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Time series prediction using chaotic neural networks on the CATS benchmark.
Neurocomputing, 2007

Implementing intentional robotics principles using SSR2K platform.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays.
Proceedings of the International Joint Conference on Neural Networks, 2007

Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach.
Proceedings of the International Joint Conference on Neural Networks, 2007

Control of multi-stable chaotic neural networks using input constraints.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Large deviations for mean field models of probabilistic cellular automata.
Random Struct. Algorithms, 2006

Studies on Sparse Array Cortical Modeling and Memory Cognition Duality.
Proceedings of the International Joint Conference on Neural Networks, 2006

Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.
Proceedings of the International Joint Conference on Neural Networks, 2006

Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation.
Neurocomputing, 2005

Activation clustering in neural and social networks.
Complexity, 2005

Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions.
Biological Cybernetics, 2005

A Novel Approach to Distributed Sensory Networks Using Biologically-Inspired Sensory Fusion.
Proceedings of the IEEE International Conference on Systems, 2005

Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, 2005

2004
Guest Editorial Special Issue on Temporal Coding for Neural Information Processing.
IEEE Trans. Neural Networks, 2004

Learning environmental clues in the KIV model of the cortico-hippocampal formation.
Neurocomputing, 2004

Spatial navigation model based on chaotic attractor networks.
Connect. Sci., 2004

Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics.
Proceedings of the Cellular Automata, 2004

2003
The KIV model - nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain.
Neurocomputing, 2003

Dynamical neural network algorithm for autonomous learning and navigation control.
Proceedings of the IEEE International Conference on Systems, 2003

2002
From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems.
IEEE Trans. Evol. Comput., 2002

Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions.
Neurocomputing, 2002

2001
Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application.
JACIII, 2001

Emergence of un-correlated common-mode oscillations in the sensory cortex.
Neurocomputing, 2001

Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns.
Int. J. Bifurc. Chaos, 2001

2000
Methods and systems for intelligent human-computer interaction.
Inf. Sci., 2000

Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfaction.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Editorial: Self-Organization and Adaptation in Intelligent Systems.
JACIII, 1998

Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning.
Inf. Sci., 1998

Integration of connectionist methods and chaotic time-series analysis for the prediction of process data.
Int. J. Intell. Syst., 1998

Hybrid intelligent adaptive systems: A framework and a case study on speech recognition.
Int. J. Intell. Syst., 1998

Introduction: Hybrid intelligent adaptive systems.
Int. J. Intell. Syst., 1998

1997
Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

On the conscious and subconscious components of knowledge representation in neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
On the accuracy of mapping by neural networks trained by backpropagation with forgetting.
Neurocomputing, 1996

1995
An Adaptive Neuro-Fuzzy Signal Processing Method By Using Structural Learning with Forgetting.
Intell. Autom. Soft Comput., 1995

Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995


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