Rozvoj stredoeurópskeho interdisciplinárneho magisterského programu kognitívna veda v anglickom jazyku

Basic informations

Thematic area: komisia č. 3 pre obsahovú integráciu a diverzifikáciu vysokoškolského štúdia

Project name (Slovak): Rozvoj stredoeurópskeho interdisciplinárneho magisterského programu kognitívna veda v anglickom jazyku

Project name (English): Development of middle-European interdisciplinary master programme cognitive science in English

Start of project: 2016

End of project: 2018

Condition of project: Ukončený

Project number: 017UK-4/2016

Project leader: prof. Ing. Igor Farkaš, Dr.

University: Univerzita Komenského v Bratislave

Department: Fakulta matematiky, fyziky a informatiky

Financial grant of MŠVVandŠ SR within KEGA

Financial grant of MŠVVandŠ SR within KEGA Capital expenditures in €
Pumped for the entire period of the project 18 921,00 0,00

List of project outcomes for the entire solution

Publishing activity

Category code Specific output, name (ISBN, number of pages a i.)
FAI Ersoy, Selin (17%); Hochenauer, Peter (17%); Römmer-Nossek, Brigitte (17%); Rötzer, Katharina (17%); Schreiber, Cornell (16%); Farkaš, Igor (16%): Proceedings of the MEi:CogSci Conference 2016. 2016
FAI Hochenauer, Peter (20%); Rötzer, Katharina (20%); Schreiber, Cornell (20%); Zimmermann, Elisabeth (20%); Farkaš, Igor (20%): Proceedings of the MEi:CogSci Conference 2017. 2017
FAI Hochenauer, Peter (20%); Römmer-Nossek, Brigitte (20%); Rötzer, Katharina (20%); Steiner, Alexander (20%); Farkaš, Igor (20%): Proceedings of the MEi:CogSci Conference 2018.
AFC Takac, M. and Knott, A.: Working memory encoding of events and their participants: a neural network model with applications in sensorimotor processing and sentence generation. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2345-2350, 2016.
BEE Farkaš, Igor (100%): On abstraction: psychological, neural, and computational perspectives. 2016 [Praha] : [ČVUT], 2016. ISBN 978-80-01-05915-9
AFC Farkaš, Igor (50%); Gergeľ Peter, N/A (50%): Maximizing memory capacity of echo state networks with orthogonalized reservoirs. 2017 Piscataway : IEEE, 2017. ISBN 978-1-5090-6182-2
AFC Kuzma T., Farkaš I.: Computational analysis of learned representations in deep neural network Classifiers. In International Joint Conference on Neural Networks, IEEE, Rio de Janeiro. 4420-4425, 2018
AFC Torda M,, Farkaš I.: Evaluation of information-theoretic measures in echo state networks on the edge of stability. In International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, 117-122, 2018.
AFC Malinovská, K., Malinovský, Ľ, Farkaš, I.: Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks. In International Conference on Artificial Neural Networks, LNCS 11141, Springer, 1-4, 2018
BEE Tuna, M, Malinovská, K., Farkaš, I.: Kategorické Siamské siete. In Šašinka et al. (eds.), Kognice a umělý život XVIII, Flow, z.s., Brno, 80-81, 2018.

Other outcomes (eg e-learning, websites, virtual laboratory, training, courses, workshops and the like.)

Output name Description of output Link
Webová stránka kognitívnej vedy Informácie pre záujemcov o KV, o náš program, pre študentov http://cogsci.fmph.uniba.sk
Webová stránku programu KV v angličtine Linky na všetky predmety programu KV http://dai.fmph.uniba.sk/w/ 15 Master_program_in_Cognitive_Science/ en

Final evaluation of the commission KEGA

Splnil ciele excelentne (s dosiahnutím celospoločenských prínosov).

Filter

Filter