Igor Farkas

According to our database1, Igor Farkas authored at least 34 papers between 1998 and 2019.

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Bibliography

2019
Echo State Networks with Artificial Astrocytes and Hebbian Connections.
Proceedings of the Advances in Computational Intelligence, 2019

Modeling Self-organized Emergence of Perspective In/variant Mirror Neurons in a Robotic System.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Embedding Complexity of Learned Representations in Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Experimental Procedure for Evaluation of Visuospatial Cognitive Functions Training in Virtual Reality.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019

2018
Robotic Homunculus: Learning of Artificial Skin Representation in a Humanoid Robot Motivated by Primary Somatosensory Cortex.
IEEE Trans. Cognitive and Developmental Systems, 2018

Computational model of enactive visuospatial mental imagery using saccadic perceptual actions.
Cognitive Systems Research, 2018

Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Computational Analysis of Learned Representations in Deep Neural Network Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Investigating the Role of Astrocyte Units in a Feedforward Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Maximizing memory capacity of echo state networks with orthogonalized reservoirs.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Computational analysis of memory capacity in echo state networks.
Neural Networks, 2016

2015
Computational analysis of the Bidirectional Activation-based Learning in autoencoder task.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Connectionist Modeling of Part-Whole Analogy Learning.
Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science / 4th European Conference on Cognitive Science / 11th International Conference on Cognitive Science, 2015

2014
A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language.
Cognitive Computation, 2014

Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Calculation of object position in various reference frames with a robotic simulator.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Towards a robotic model of the mirror neuron system.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Bidirectional Activation-based Neural Network Learning Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Grounding the Meanings in Sensorimotor Behavior using Reinforcement Learning.
Front. Neurorobot., 2012

2011
Bio-inspired Model of Spatial Cognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Modeling Utterance-mediated Attention in Situated Language Comprehension.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Experimental comparison of recursive self-organizing maps for processing tree-structured data.
Neurocomputing, 2010

2009
Segmentation and supervised classification of image objects in Epo doping-control.
Mach. Vis. Appl., 2009

Recursive Self-organizing Networks for Processing Tree Structures - Empirical Comparison.
Proceedings of the IJCCI 2009, 2009

2008
Syntactic systematicity in sentence processing with a recurrent self-organizing network.
Neurocomputing, 2008

Learning Nonadjacent Dependencies with a Recurrent Neural Network.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Systematicity in sentence processing with a recursive self-organizing neural network.
Proceedings of the ESANN 2007, 2007

2006
Dynamics and Topographic Organization of Recursive Self-Organizing Maps.
Neural Computation, 2006

2005
Recursive Self-organizing Map as a Contractive Iterative Function System.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Early lexical development in a self-organizing neural network.
Neural Networks, 2004

2002
Modeling the Development of Lexicon with a Growing Self-Organizing Map.
Proceedings of the 6th Joint Conference on Information Science, 2002

1998
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network.
Neural Processing Letters, 1998


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