Presentations
Chaired conferences
Thanks to everyone who took part in the First and Second International Conferences on Error-Driven Learning in Language, EDLL 2021 and EDLL 2022. The proceedings are available here as PDF EDLL 2021 and EDLL 2022.
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Selection of recent conference presentations
Nixon, J. S. and van Rij, J. Just what we’ve come to expect? Could the mismatch negativity (MMN) response emerge gradually through incremental learning? Poster presentation at AMLaP. 5-7 September, 2024. Edinburgh, UK.
Nixon, J. S. and van Rij, J. Could incrementally learned expectations lead to the gradual emergence of the mismatch negativity (MMN) response? Oral presentation at EuroSLA. 3-6 July, 2024. Montpellier, France.
Nixon, J. S. and Tomaschek, F. Modelling predictive learning of the speech signal. 46th Annual Meeting of the German Linguistics Society (DGfS). 28 February - 1 March, 2024. Bochum, Germany.
Nixon, J. S. and van Rij, J. Gradual emergence over multiple trials suggests the Mismatch negativity (MMN) as an index of learned expectations. Words in the World conference. 1-2 December, 2023. Online.
Nixon, J. S., Lentz, T. and van Rij, J. What do learners predict in a speech learning task? Estimating trial-by-trial neural responses with error-driven expectation measures. Architectures and Mechanisms of Language Processing (AMLaP). 7-9 September, 2022. York, UK.
Nixon, J. S., Poelstra, S. and van Rij, J. Disentangling strategic task effects in determining which cues are used for prediction. Architectures and Mechanisms of Language Processing (AMLaP). 7-9 September, 2022. York, UK.
Nixon, J. S., Poelstra, S. and van Rij, J. Does error-driven learning occur in the absence of cues? Examination of the effects of updating connection weights to absent cues. 44th Annual Meeting of the Cognitive Science Society, 27-30 July, 2022.
Poelstra, S., Nixon, J. S. and van Rij, J. Does learning occur in the absence of cues? Oral presentation at the International Conference on Error-Driven Learning in Language (EDLL 2021). March 10-12, 2021. Tübingen, Germany. [Presented by Sanne Poelstra].
Nixon, J. S., and Tomaschek, F. Infant speech acquisition through error-driven learning of the acoustic speech signal. Poster presentation at the International Conference on Error-Driven Learning in Language (EDLL 2021). March 10-12, 2021. Tübingen, Germany.
Nixon, J. S., and Tomaschek, F. Learning from the acoustic signal: Error-driven learning of low-level acoustics discriminates vowel and consonant pairs. Oral presentation at CogSci 2020, the 42nd Annual Conference of the Cognitive Science Society July 29-August 1, 2020. Toronto, Canada.
Nixon, J. S. Cue weighting as a result of cue competition and prediction error. Oral presentation at Cue Weighting: Thinking Outside the Box, LabPhon 2020 Satellite Workshop, July 5, 2020. Vancouver, Canada.
Nixon, J. S. and Tomaschek, F. Development of first language cue weights from error-driven learning of the continuous speech signal. Poster presentation at Cue Weighting: Thinking Outside the Box, LabPhon 2020 Satellite Workshop, July 5, 2020. Vancouver, Canada.
Tomaschek, F. & Nixon, J. S. Learning theory as linguistic theory. Poster presentation at Linguistic Evidence 2020. 13-15 February 2020. Tübingen, Germany.
Nixon, J. S., Ramscar, M. and Tomaschek, F. The emergence of morphological structure from a continuous signal on the basis of error-driven learning. Oral presentation at the International Morphological Processing Conference, MoProc 2019. November 4-7, 2019. Tübingen, Germany.
Nixon, J. S. and Tomaschek, F. Infant speech sound acquisition as error-driven discriminative learning of the speech signal. Architectures and Mechanisms of Language Processing (AMLaP). September 6-8, 2019. Moscow, Russia.
Nixon, J. S. and Tomaschek, F. Learning speech cues from the input. Interdisciplinary Advances in Statistical Learning. June 27-29, 2019. Donostia San Sebastian, Spain.
Tomaschek, F. and Nixon, J. S. Emerging Structures in Random Data Result in Naive Learning. Oral presentation at Psycholinguistics in Iceland -- Parsing and Prediction. June 19-20, 2019. Reykjavik, Iceland.
Nixon, J. S. The Kamin blocking effect in speech acquisition: non-native cue learning is blocked by already-learned cues. The 11th International Conference on the Mental Lexicon. September 25-28, 2018. Edmonton, Canada
Awarded: $500 CAD for top-ranked presentations at Mental Lexicon 2018.
Nixon, J. S. Prior learning of acoustic cues blocks learning of new cues in non- native speech acquisition. Architectures and Mechanisms of Language Processing (AMLaP). September 6-9, 2018. Berlin, Germany.
van Rij, J., Nixon, J. S. and Lentz, T. O. Modelling of mismatch negativity response and non-native statistical learning. Oral presentation at Architectures and Mechanisms of Language Processing (AMLaP), September 6-8, 2018. Berlin, Germany. [Presented by Jacolien van Rij]
Nixon, J. S. Effective acoustic cue learning is not just statistical, it is discriminative. Oral presentation at Interspeech 2018, the 19th Annual Conference of the International Speech Communication Association, September 2-6, 2018. Hyderabad, India.
Jiao, D., Watson, V., Wong, S., Gnevsheva, K. & Nixon, J. S. Sociophonetic cues of age estimation in foreign-accented speech. Oral presentation at the Sociolinguistics Symposium 22, 27-30 June, 2018. Auckland, New Zealand. [Presented by Sidney Wong]
Nixon, J. S. & Best, C. T. Statistical variance lowers cue weighting during acoustic cue acquisition: a GAMM model of eye movement data. 20th Conference of the European Society for Cognitive Psychology (ESCoP). 3-6 September 2017. Potsdam, Germany.
Nixon, J. S., Van Rij, J., Li, X. Q., and Chen, Y. Context-specific processing and cross- category phonological effects in Mandarin reading aloud: a GAMM model of ERPs. 20th Conference of the European Society for Cognitive Psychology (ESCoP). 3-6 September 2017. Potsdam, Germany.
Nixon, J. S., & Best, C. T. Effects of statistical variance during acoustic cue acquisition: a GAMM model. Architectures and Mechanisms of Language Processing (AMLaP). September 7-9, 2017. Lancaster, UK.