Publications of Igor Farkaš

  • Hoffmann M., Straka Z., Farkaš I., Vavrečka M., Metta G.: Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex. IEEE Transactions on Cognitive and Developmental Systems 2017.pdfbib
  • Farkaš I., Gergeľ P.: Maximizing Memory Capacity of Echo State Networks with Orthogonalized Reservoirs. In International Joint Conference on Neural Networks, IEEE. 2437-2442. 2017.pdfbib
  • Farkaš I.: On abstraction: psychological, neural, and computational perspectives. In Kognice a umělý život (KUZ). 2016.pdfbib
  • Rybár J., Cimrová B., Farkaš I., Varga Doležalová M., Rosipal R.: Špecifiká kognitívneho výkonu pacientov po ložiskovej ischémii mozgu. In Kognice a umělý život (KUZ). 2016.pdfbib
  • Farkaš I., Bosák R., Gergeľ P.: Computational analysis of memory capacity in echo state networks. Neural Networks 83, 109-120. 2016.pdfbib
  • Csiba P., and Farkaš I.: Computational analysis of the bidirectional activation-based learning in autoencoder task. In The International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland. 2015.pdfbib
  • Rosipal R., Cimrová B., Rückschloss L., Kohút Z., Farkaš I., Porubcová N.: Vplyv zrkadlového tréningu na moduláciu motorických rytmov: elektrofyziologická a klinická štúdia pacienta s hemiparézou po mozgovom infarkte. In Kognícia a umelý život 2015, Vydavateľstvo Univerzity Komenského, Bratislava. 152-157. 2015.pdfbib
  • Kuzma T., Farkaš I.: Automatická tvorba učebných plánov pre strojové učenie. In Kognícia a umelý život 2015, Vydavateľstvo Univerzity Komenského, Bratislava. 99-102. 2015.pdfbib
  • Farkaš, I., Takáč, M., Rybár, J., Kelemen, J. (eds.): Kognícia a umelý život 2015. Univerzita Komenského v Bratislave, Bratislava. 2015.pdfbib
  • Gergeľ P., Farkaš I.: Connectionist modeling of part–whole analogy learning. In Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science, Torino. 587-592. 2015.pdfbib
  • Vavrečka M., Farkaš I.: A multimodal connectionist architecture for unsupervised grounding of spatial language. Cognitive Computation 6:101-112. 2014.pdfbib
  • Farkaš I., Cimrová B., Rybár J.: Potlačenie motorických rytmov v mozgu pri pozorovaní pohybu. In Kognitivní věda a umělý život II, Slezská univerzita v Opave. 67-74. 2014.pdfbib
  • Cimrová B., Farkaš I., Rosipal R.: Využitie rozhrania mozog–počítač pri neurorehabilitácii: prehľad aktuálneho výskumu. In Kognitivní věda a umělý život II, Slezská univerzita v Opave. 33-38. 2014.pdfbib
  • Švec M., Farkaš I.: Calculation of object position in various reference frames with a robotic simulator. In Proceedings of the 36th Annual Conference of the Cognitive Science Society, Quebec, Canada. 2014.pdfbib
  • Barančok P., Farkaš I.: Memory capacity of input-driven echo state networks at the edge of chaos. In Proceedings of the International Conference on Artificial Neural Networks (ICANN). 41-48. 2014.pdfbib
  • Farkaš I.: Je reprezentačný pluralizmus v kognitívnej vede nevyhnutný?. In Kelemen J., Rybár J., Farkaš I., Takáč M. (eds.), Kognitivní věda a umělý život, Slezská univerzita v Opavě. 107-114. 2013.pdfbib
  • Rebrová K., Farkaš I.: Robotický model systému zrkadliacich neurónov: experimentálna analýza. In Kelemen J., Rybár J., Farkaš I., Takáč M. (eds.), Kognitivní věda a umělý život, Slezská univerzita v Opavě. 223-230. 2013.pdfbib
  • Farkaš I., Rebrová K.: Bidirectional activation-based neural network learning algorithm. In Proceedings of the International Conference on Artificial Neural Networks (ICANN), Springer. 154-161. 2013.pdfbib
  • Rebrová K., Pecháč M., Farkaš I.: Towards a robotic model of the mirror neuron system. In International Conference on Development and Learning and on Epigenetic Robotics, IEEE. 2013.pdfbib
  • Farkaš I.: Paradigmy a metódy výskumu v kognitívnej vede. In Sborník studijních materiálů ke kurzu Kognitívní věda a umělá inteligence. 6-21. 2013.pdfbib
  • Farkaš I., Malík T., Rebrová K.: Grounding the meanings in sensorimotor behavior using reinforcement learning. Frontiers in Neurorobotics 6(1). 2012. doi: 10.3389/fnbot.2012.00001.pdfbib
  • Švantner J., Farkaš I., Crocker M.: Modeling utterance-mediated visual attention during situated comprehension. Neural Network World 22(2). 85-101. 2012.pdfbib
  • Rebrová K., Farkaš I.: Robotický model systému zrkadliacich neurónov. In Kelemen J., Nahodil P. (eds.), Kognice a umělý život XII, Slezská univerzita. 231-238. 2012.pdfbib
  • Farkaš I.: Indispensability of computational modeling in cognitive science. Journal of Cognitive Science 13,401-435. 2012.pdfbib
  • Švantner J., Farkaš I., Crocker M.: Modeling utterance-mediated attention in situated language comprehension. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society, Boston, US. 2235-2240. 2011.pdfbib
  • Vavrečka M., Farkaš I.: Unsupervised grounding of spatial relations. In Kokinov B., Karmiloff-Smith A., and Nersessian N. (eds.), Proceedings of the European Conference on Cognitive Science, Sofia, New Bulgarian University Press, Sofia. 2011.pdfbib
  • Rebrová K., Farkaš I.: Neurálne modely v kognitívnej robotike: porozumenie a pomenovávanie akcií. In Kelemen J., Kvasnička V. (eds.), Kognice a umělý život XI, Slezská univerzita, Opava. 231-238. 2011.pdfbib
  • Farkaš I., Malý M., Rebrová K.: Porozumenie motorickým akciám – hypotéza kontinua. In Kelemen J., Kvasnička V. (eds.), Kognice a umělý život XI, Slezská univerzita. 61-68. 2011.pdfbib
  • Farkaš I., Malý M., Rebrová K.: Mirror neurons – theoretical and computational issues. Technical report TR-2011-028. Comenius University in Bratislava. 2011.pdfbib
  • Vavrečka M., Farkaš I., Lhotská L.: Bio-inspired model of spatial cognition. In International Conference on Neural Information Processing (ICONIP). 2011.pdfbib
  • Farkaš I.: Konekcionizmus v náručí výpočtovej kognitívnej vedy. In Kvasnička V. et al. (eds.), Umelá inteligencia a kognitívna veda III. 19-62. 2011.pdfbib
  • Šilar J., Kokoška M., Rebrová K., Farkaš I.: Motor resonance based desynchronization of the EEG mu rhythm. Activitas Nervosa Superior Rediviva 53 2011. Abstract.bib
  • Farkaš I., Malík T.: Connectionist model of action learning and naming (abstract). In IEEE ICDL-EpiRob 2011: IEEE Conference on Development and Learning and Epigenetic Robotics , Frankfurt am Main. 2011.bib
  • Vančo P., Farkaš I.: Experimental comparison of recursive self-organizing maps for processing tree-structured data. Neurocomputing 73 1362-1375. 2010.pdfbib
  • Rakovský M., Schreitter S., Farkaš I.: Affecting sentence comprehension by perceptual or linguistic manipulation. In Presented at CSLD/ESLP 2010, University of California, San Diego, USA. 2010.pdfbib
  • Farkaš I.: Mental causation in a physical brain?. In Brain-Inspired Cognitive Systems, Universidad Politécnica de Madrid. 14-16 July 2010.pdfbib
  • Farkaš I.: Neurálne modely v kognitívnej robotike: vizuálno-motorická interakcia. In Kelemen J., Kvasnička V. (eds.), Kognice a umělý život X, Slezská univerzita, Opava. 93-99. 2010.pdfbib
  • Farkaš I.: Subjektívna skúsenosť očami informatika. Anthropos 7(1). 72-78. 2010.bib
  • Vančo P., Farkaš I.: Recursive self-organizing networks for processing tree structures: Empirical comparison. In International Joint Conference on Computational Intelligence (IJCCI), Madeira, Portugal. 459-466. 2009.pdfbib
  • Farkaš I.: Významy ako mentálne simulácie v situačnom modeli. In Kelemen J., Kvasnička V., Rybár J. (eds.), Kognice a umelý život IX, Slezská univerzita, Opava. 69-76. 2009.pdfbib
  • Bajla I., Rublík F., Arendacká B., Farkaš I., Hornišová K., Štolc S., Witkovský V.: Segmentation and supervised classification of image objects in Epo doping-control. Machine Vision and Applications 20(4). 243-259. 2009.pdfbib
  • Farkaš I.: Learning nonadjacent dependencies with a recurrent neural network. In M. Koeppen et al. (eds.), International Conference on Neural Information Processing Systems (ICONIP'2008), Springer, Lecture Notes in Computer Science. 292-299. 2009.pdfbib
  • Farkaš I., Pokorný M.: Investigating systematicity in the linear RAAM neural network. In Mayor J., Ruh N., Plunkett K. (eds.), Connectionist Models of Behaviour and Cognition, Vol. II, World Scientific, Singapore. 217-228. 2009.pdfbib
  • Švantner J., Farkaš I.: Investigating distributed representations in grammar acquisition with echo state networks. In Proceedings of the Tenth International Conference on Informatics, Elfa, Košice. 265-270. 2009.bib
  • Švantner J., Farkaš I.: Učenie gramatických závislostí pomocou neurónovej siete s echo stavmi. In Kognícia a umelý život IX, Slezská univerzita, Opava. 319-325. 2009.bib
  • Farkaš I., Crocker M.: Syntactic systematicity in sentence processing with a recurrent self-organizing network. Neurocomputing 711172-1179. 2008.pdfbib
  • Farkaš I.: Konceptuálne východiská pre model stelesnenej mysle. In Kvasnička V., Kelemen J., Pospichal J. (eds.), Modely mysle, Vydavateľstvo Európa, Bratislava. 35-64. 2008.pdfbib
  • Šefránek, J., Takáč, M., Farkaš, I.: Vznik inteligencie v umelých systémoch. In Magdolen, D. (eds.), Hmota, život, inteligencia: Vznik, VEDA, Bratislava. 245-270. 2008.pdfbib
  • Farkaš I., Crocker M.: Systematicity in sentence processing with a recursive self-organizing neural network. In M. Verleysen (eds.), Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN'07), Bruges, Belgium. 49-54. 2007.pdfbib
  • Farkaš I.: Hľadanie kauzálnych vzťahov v probléme mysle a tela z pohľadu neredukcionistického fyzikalizmu. In V. Kvasnička, P. Trebatický, J. Pospichal, J. Kelemen (eds.), Myseľ, inteligencia a život, Vydavateľstvo STU, Bratislava. 3-16. 2007.pdfbib
  • Farkaš I., Vančo P.: Spracovanie postupností symbolov pomocou rekurzívnych neurónových máp. In Kognícia a umelý život VII, Slezská univerzita, Opava. 99-106. 2007.pdfbib
  • Farkaš I., Švantner J.: Učenie nesusedných závislostí pomocou rekurentných neurónových sietí. In Kognícia a umelý život VII, Slezská univerzita, Opava. 389-394. 2007.pdfbib
  • Farkaš I., Crocker M.:: Recurrent networks and natural language: exploiting self-organization. In Proceedings of the 28th Annual Conference of the Cognitive Science Society, Vancouver, Canada. 1275-1280. 2006.pdfbib
  • Farkaš I.: Samoorganizácia ako hybná sila dynamických vzorcov aktivít v mozgu a mysli. In J. Kelemen J. and V. Kvasnicka (eds.), Kognícia a umelý život VI, Třešť, Česká republika. 143-148. 2006.pdfbib
  • Tiňo P., Farkaš I., van Mourik J.: Dynamics and topographic organization of recursive self-organizing maps. Neural Computation 182529-2567. 2006.pdfbib
  • Tiňo P., Farkaš I., van Mourik J.: Recursive self-organizing map as a contractive iterative function system. In M. Gallagher, J. Hogan, F. Maire (eds.), Intelligent Data Engineering and Automated Learning - IDEAL 2005, Lecture Notes in Computer Science, Springer. 327-334. 2005.pdfbib
  • Tiňo P., Farkaš I.: On non-Markovian topographic organization of receptive fields in recursive self-organizing map. In L. Wang, K. Chen, Y.S. Ong. (eds.), Advances in Natural Computation - ICNC 2005, Lecture Notes in Computer Science, Springer. 676-685. 2005.pdfbib
  • Farkaš I.: Recipročná kauzalita medzi mysľou a mozgom z neurovednej perspektívy. In J. Kelemen, V. Kvasnicka, J. Pospichal (eds.), Kognícia a umelý život V, Smolenice, Slovakia. 117-124. 2005.pdfbib
  • Farkaš I.: Konekcionistické modelovanie jazyka. In J. Rybar, V. Kvasnicka, I. Farkas (eds.), Jazyk a kognícia, Kalligram, Bratislava. 262-305. 2005.pdfbib
  • Farkaš I.: Súboj symbolov a pravdepodobností. Anthropos 2(1). 69-74. 2005.bib
  • Rybár J., Kvasnička V., Farkaš I.: Kognitívny prístup ku skúmaniu jazyka. 2005.bib
  • Li P., Farkaš I., MacWhinney B.: Early lexical acquisition in a self-organizing neural network. Neural Networks 17(8-9). 1345-1362. 2004.pdfbib
  • Farkaš I.: What is the structure of human lexical system?. In Sincak P. et al. (eds.), Cognition and Artificial Life III, Stara Lesna, Slovakia. 13-18. 2003.pdfbib
  • Farkaš I.: Lexical acquisition and developing semantic map. Neural Network World 13(3). 235-245. 2003.pdfbib
  • Farkaš I., Li P.: Modeling the development of lexicon with a growing self-organizing map. In Caulfield, H.J. et al. (eds.), Proceedings of the 6th Joint Conference on Information Sciences, Research Triangle Park, NC. 553-556. 2002.pdfbib
  • Li P., Farkaš I.: A self-organizing connectionist model of bilingual processing. In R. Heredia & J. Altarriba (eds.), Bilingual Sentence Processing, North-Holland: Elsevier Science Publisher. 59-85. 2002.pdfbib
  • Farkaš I., Li P.: DevLex: A self-organizing neural network model of the development of lexicon. In International Conference on Neural Information Processing (ICONIP), Singapore. 2002.pdfbib
  • Farkaš I., Li P.: A self-organizing neural network model of the acquisition of word meaning. In E. Altmann, A. Cleeremans, C. Schunn, & W. Gray (eds.), Proceedings of the 4th International Conference on Cognitive Modeling, Fairfax, VA. 67-72. 2001.pdfbib
  • Farkaš I.: Self-organizing map for representing structures. In Sincak P. et al. (eds.), The State of the Art in Computational Intelligence (Proceedings of European Symposium on Computational Intelligence), Kosice, Slovakia, Springer-Verlag. 25-31. 2000.pdfbib
  • Farkaš I.: Jazyk, mozog a evolúcia. In Kognitívne vedy III, Bratislava. 45-55. 2000.pdfbib
  • Chudý L., Farkaš I.: Regionálna analýza pomocou samoorganizujúcich sa máp. Politická ekonomie 48(5). 685-697. 2000.bib
  • Chudý L., Farkaš I.: Modely horizontálneho regionálneho finančného vyrovnávania. Ekonomický časopis 48(5). 634-649. 2000.bib
  • Farkaš I., Miikkulainen R.: Modeling the self-organization of directional selectivity in the primary visual cortex. In Proceedings of ICANN'99, Edinburgh, Scotland. 251-256. 1999.pdfbib
  • Chudý L., Farkaš I.: Prediction of chaotic time-series using dynamic cell structures and local linear models. Neural Network World 8(5). 481-489. 1998.pdfbib
  • Rosipal R., Koska M., Farkaš I.: Prediction of chaotic time-series with a resource-allocating RBF network. Neural Processing Letters 71-13. 1998.pdfbib
  • Farkaš I.: Invariance of Gaussian-vector mapping using a self-organizing map. Neural Network World 7(2). 153-159. 1997.pdfbib
  • Farkaš I.: Samoorganizujúce sa mapy. In V. Kvasnicka, L. Benuskova, J. Pospichal, I. Farkas, P. Tino, A. Kral (eds.), Úvod do teórie neurónových sietí, IRIS, Bratislava. 142-189. 1997.pdfbib
  • Farkaš I., Chudý L.: Application of a growing self-organizing map to thinning of binary characters with noise. In Proceedings of WSOM'97: Workshop on Self-Organizing Maps, Espoo, Finland. 215-219. 1997.pdfbib
  • Farkaš I., Chudý L.: Skeletonization of binary patterns with modified dynamic cell structures.. In Frollo, I. and Plackova, A. (eds.), Measurement'97, Smolenice, Slovakia, Polygraphy of SAS Bratislava. 258-261. 1997.pdfbib
  • Rosipal R., Koska M., Farkaš I.: Chaotic time-series prediction using resource-allocating RBF networks. In Frollo, I. and Plackova, A. (eds.), Measurement'97, Smolenice, Slovakia, Polygraphy of SAS Bratislava. 282-285. 1997.pdfbib
  • Farkaš I., Chudý L.: Modified dynamic cell structures as a thinning algorithm. In Sincak P. (eds.), Proc. of the First Slovak Symposium on Neural Networks, Herlany, ELFA. 71-79. 1996.pdfbib
  • Farkaš I.: Self-organized formant mapping. Neural Network World 5(3). 287-297. 1995.bib
  • Farkaš I.: Interference cancelling using constrained topological mapping. Neural Network World 3(2). 121-130. 1993.bib
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