Encountering Multiple Exemplars During Fast Mapping Facilitates Word Learning. - Jessica Horst; Katherine Twomey; Samantha Ranson (CogSci, 2013)

A distributional learning account of the acquisition of the locative alternation: Corpus analysis and modeling. - Katherine Twomey; Franklin Chang; Ben Ambridge (CogSci, 2013)

A neural network model of curiosity-driven infant categorization. - Katherine E. Twomey; Gert Westermann (ICDL-EPIROB, 2015)

A neurocomputational model of the effect of learned labels on infants' object representations. - Arthur Capelier-Mourguy; Katherine Twomey; Gert Westermann (CogSci, 2016)

A Learned Label Modulates Object Representations in 10-Month-Old Infants. - Katherine Twomey; Gert Westermann (CogSci, 2016)

Extraneous visual noise facilitates word learning. - Katherine Twomey; Lizhi Ma; Gert Westermann (CogSci, 2017)

New evidence for learning-based accounts of gaze following: Testing a robotic prediction. - Priya Silverstein; Gert Westermann; Eugenio Parise; Katherine Twomey (ICDL-EPIROB, 2019)

Neurocomputational Models Capture the Effect of Learned Labels on Infants' Object and Category Representations. - Arthur Capelier-Mourguy; Katherine E. Twomey; Gert Westermann (IEEE Trans. Cogn. Dev. Syst., 2020)

When Object Color Is a Red Herring: Extraneous Perceptual Information Hinders Word Learning via Referent Selection. - Jessica Horst; Katherine E. Twomey; Anthony F. Morse; Rosie Nurse; Angelo Cangelosi (IEEE Trans. Cogn. Dev. Syst., 2020)