computational modelling

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

Török, Balazs, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nagy, David G., Orban, Gergo and Nemeth, Dezso (2017) Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning. Journal of Experimental Psychology: General, 146 (4). pp. 529-542. ISSN 0096-3445 (Print), 1939-2222 (Online) (doi:https://doi.org/10.1037/xge0000288)

hidden markov models

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

implicit learning

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

Török, Balazs, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nagy, David G., Orban, Gergo and Nemeth, Dezso (2017) Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning. Journal of Experimental Psychology: General, 146 (4). pp. 529-542. ISSN 0096-3445 (Print), 1939-2222 (Online) (doi:https://doi.org/10.1037/xge0000288)

internal models

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

probabilistic sequence learning

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

reaction time

Török, Balazs, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nagy, David G., Orban, Gergo and Nemeth, Dezso (2017) Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning. Journal of Experimental Psychology: General, 146 (4). pp. 529-542. ISSN 0096-3445 (Print), 1939-2222 (Online) (doi:https://doi.org/10.1037/xge0000288)

reactive inhibition

Török, Balazs, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nagy, David G., Orban, Gergo and Nemeth, Dezso (2017) Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning. Journal of Experimental Psychology: General, 146 (4). pp. 529-542. ISSN 0096-3445 (Print), 1939-2222 (Online) (doi:https://doi.org/10.1037/xge0000288)

statistical learning

Torok, Balazs, Nagy, David, Kiss, Mariann, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nemeth, Dezso and Orban, Gergo (2022) Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology, 18 (6):e1010182. ISSN 1553-734X (Print), 1553-7358 (Online) (doi:https://doi.org/10.1371/journal.pcbi.1010182)

Török, Balazs, Janacsek, Karolina ORCID: 0000-0001-7829-8220 , Nagy, David G., Orban, Gergo and Nemeth, Dezso (2017) Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning. Journal of Experimental Psychology: General, 146 (4). pp. 529-542. ISSN 0096-3445 (Print), 1939-2222 (Online) (doi:https://doi.org/10.1037/xge0000288)