Publications

* indicates a lab-member-led paper.

Preprints

*Coopmans, C. W., De Hoop, H., Tezcan, F., Hagoort, P., & Martin, A. E. Neural dynamics express syntax in the time domain during natural story listening. [biorxiv]
*Zhao, J., Martin, A. E., & Coopmans, C. W. Structural and sequential regularities modulate phrase-rate neural tracking. [biorxiv]
*Slaats, S. & Martin, A. E. What's surprising about surprisal. [psyarxiv]
Kaushik, K. R., & Martin, A. E. A mathematical neural process model of language comprehension, from syllable to sentence. [psyarxiv]
Kaushik, K. R., & Martin, A. E. Modelling compositionality and structure dependence in natural language. [arxiv]
Doumas, L. A. A., Puebla, G., & Martin, A. E. How we learn things we didn't know already: A theory of learning structured representations from experience. [biorxiv]
Doumas, L. A. A., Puebla, G., & Martin, A. E. Human-like generalization in a machine through predicate learning. [arxiv]
Foraker, S., Cunnings, I., & Martin, A. E. Speed-accuracy tradeoff modeling and its interface with experimental syntax. [psyarxiv]

2024

*Ten Oever, S., Titone, L., te Rietmolen, N., & Martin, A. E. (2024). Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language. Proceedings of the National Academy of Sciences of the United States of America. [pdf]
*Coopmans, C. W., Mai, A., & Martin, A. E. (2024). 'Not' in the brain and behavior. PLoS Biology. [pdf]
*Weissbart, H. & Martin, A. E. (2024). The Structure and Statistics of Language jointly shape Cross-frequency Dynamics during Spoken Language Comprehension. Nature Communications. [pdf]
*Ding, R., Ten Oever, S., & Martin, A. E. (2024). Delta-band Activity Underlies Referential Meaning Representation during Pronoun Resolution. Journal of Cognitive Neuroscience. [pdf]
*Zioga, I., Zhou, J., Weissbart, H., & Martin, A. E. (2024). Alpha and beta oscillations differentially support word production in a rule-switching task. eNeuro. [pdf]

2023

*Ten Oever, S. & Martin, A. E. (2023). Interdependence of ‘what’ and ‘when’ in the brain. Journal of Cognitive Neuroscience. [pdf]
*Slaats, S., Weissbart, H., Schoffelen, J. M., Meyer, A. S., & Martin, A. E. (2023). Delta-band neural responses to individual words are modulated by sentence processing. Journal of Neuroscience. [pdf]
*Tezcan, F., Weissbart, H., & Martin, A. E. (2023). A tradeoff between acoustic and linguistic feature encoding in spoken language comprehension. eLife. [pdf]
*Guest, O. & Martin, A. E. (2023). On logical inference over brain, behavior, and artificial neural networks. Computational Brain & Behavior. [pdf]
*Zioga, I., Weissbart, H., Lewis, A. G., Haegens, S., & Martin, A. E. (2023). Naturalistic spoken language comprehension is supported by alpha and beta oscillations. Journal of Neuroscience. [pdf]
*Coopmans, C. W., Kaushik, K., & Martin, A. E. (2023). Hierarchical structure in language and action: A formal comparison. Psychological Review. [pdf]
*Coopmans, C. W., Mai, A., Slaats, S., Weissbart, H., & Martin, A. E. (2023). What oscillations can do for syntax depends on your theory of structure building. Letter in Nature Reviews Neuroscience. [pdf]

2022

Doumas, L. A. A., Puebla, G., Martin, A. E., & Hummel, J. E. (2022). A theory of relation learning and cross-domain generalization. Psychological Review. [pdf]
*Coopmans, C. W., De Hoop, H., Hagoort, P., & Martin, A. E. (2022). Effects of structure and meaning on cortical tracking of linguistic units in naturalistic speech. Neurobiology of Language. [pdf]
*Ten Oever, S., Kaushik, K., & Martin, A. E. (2022). Inferring the nature of linguistic computations in the brain. PLoS Computational Biology. [pdf]
*Bai, F., Meyer, A. S, & Martin, A. E (2022). Neural dynamics differentially encode phrases and sentences during spoken language comprehension. PLoS Biology. [pdf]
*Ten Oever, S., Carta, S., Kaufeld, G., & Martin, A. E. (2022). Neural tracking of phrases in spoken language comprehension is automatic and task-dependent. eLife. [pdf]
*Ten Oever, S., Kaushik, K., & Martin, A. E. (2022). Inferring the nature of linguistic computations in the brain. PLoS Computational Biology. [pdf]

2021

*Coopmans, C. W., De Hoop, H., Kaushik, K., Hagoort, P., & Martin, A. E. (2021). Structure-(in)dependent interpretation of phrases in humans and LSTMs. Proceedings of the Society for Computation in Linguistics. [pdf]
Doumas, L. A. A. & Martin, A. E. (2021). A model for learning structured representations of similarity and relative magnitude from experience. Current Opinion in Behavioral Sciences. [pdf]
*Puebla, G., Martin, A. E., & Doumas, L. A. A. (2021). The relational processing limits of classic and contemporary neural network models of language processing. Language, Cognition, and Neuroscience. [pdf]
Guest, O. & Martin, A. E. (2021). How computational modeling can force theory building in psychological science?. Perspectives on Psychological Science. [pdf]
*Ten Oever, S. & Martin, A. E. (2021). An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions. eLife. [pdf]
*Coopmans, C. W., De Hoop, H., Kaushik, K., Hagoort, P., & Martin, A. E. (2021). Hierarchy in language interpretation: Evidence from behavioral experiments and computational modeling. In press at Language, Cognition and Neuroscience. [pdf]

2020

*Hashemzadeh, M., Kaufeld, G., White, M., Martin, A. E., & Fyshe, A. (2020). From language to language-ish: How brain-iike is an LSTM's representation of atypical language stimuli?. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. [pdf]
Doumas, L. A. A., Martin, A. E., & Hummel, J. E. (2020). Relation learning in a neurocomputational architecture supports cross-domain transfer. Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society. [pdf]
Brennan, J. R. & Martin, A. E. (2020). Phase synchronization varies systematically with linguistic structure composition. Philosophical Transactions of the Royal Society B: Biological Sciences. [pdf]
Martin, A. E. & Doumas, L. A. A. (2020). Tensors and compositionality in neural systems. Philosophical Transactions of the Royal Society B: Biological Sciences. [pdf]
Martin, A. E. & Baggio, G. (2020). Modeling meaning composition from formalism to mechanism. Philosophical Transactions of the Royal Society B: Biological Sciences. [pdf]
Martin, A. E. (2020). A compositional neural architecture for language. Journal of Cognitive Neuroscience. [pdf]
*Cutter, M. G., Martin, A. E., & Sturt, P. (2020). The activation of contextually predictable words in syntactically illegal positions. Quarterly Journal of Experimental Psychology. [pdf]
*Cutter, M. G., Martin, A. E., & Sturt, P. (2020). Readers detect an low-level phonological violation between two parafoveal words. Cognition. [pdf]
Meyer, L., Sun, Y. & Martin, A. E. (2020). "Entraining" to speech, generating language?. Language, Cognition and Neuroscience. [pdf]
*Kaufeld, G., Bosker, H. R., Ten Oever, S., Alday, P. M., Meyer, A. S., & Martin, A. E. (2020). Linguistic structure and meaning organize neural oscillations into a content-specific hierarchy. The Journal of Neuroscience. [pdf]

2019

Martin, A. E. & Doumas, L. A. A. (2019). Predicate learning in neural systems: Using oscillations to discover latent structure. Current Opinion in Behavioral Sciences. [pdf]
*Kaufeld, G., Ravenschlag, A., Meyer, A. S., Martin, A. E., & Bosker, H. R. (2019). Knowledge-based and signal-based cues are weighted flexibly during spoken language comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition. [pdf]
*Cutter, M. G., Martin, A. E., & Sturt, P. (2019). Capitalization interacts with syntactic complexity. Journal of Experimental Psychology: Learning, Memory, and Cognition. [pdf]
*Kaufeld, G., Naumann, W., Meyer, A. S., Bosker, H. R., & Martin, A. E. (2019). Contextual speech rate influences morphosyntactic prediction and integration. Language, Cognition, and Neuroscience. [pdf]
Meyer, L., Sun, Y. & Martin, A. E. (2019). Synchronous, but not entrained: exogenous and endogenous cortical rhythms of speech and language processing. Language, Cognition, and Neuroscience. [pdf]

2018

Martin, A. E., & McElree, B. (2018). Retrieval cues and syntactic ambiguity resolution: Speed-accuracy tradeoff evidence. Language, Cognition, and Neuroscience. [pdf]
Lakens, D. et al. (Martin, A. E. is author no. 57) (2018). Justify your alpha: A Response to "Redefine Statistical Significance.". Nature Human Behavior. [pdf]
Doumas, L. A. A. & Martin, A. E. (2018). Learning structured representations from experience. Psychology of Learning and Motivation. [pdf]
Martin, A. E. (2018). Cue integration during sentence comprehension: Electrophysiological evidence from ellipsis. PLoS ONE . [pdf]

2017

*Ito, A., Martin, A. E., & Nieuwland, M. S. (2017). On predicting form and meaning in a second language. Journal of Experimental Psychology: Learning, Memory, and Cognition. [pdf]
Nieuwland, M. S., & Martin, A. E. (2017). Neural oscillations and a nascent cortico-hippocampal theory of reference. Journal of Cognitive Neuroscience. [pdf]
Martin, A. E. & Doumas, L. A. A. (2017). A mechanism for the cortical computation of hierarchical linguistic structure. PLoS Biology. [pdf] [simulations runnable at: OSF and github]
Martin, A. E., Huettig, F., & Nieuwland, M. S. (2017). Can structural priming answer the important questions about language? Comment on target article "An experimental approach to linguistic representation" by Branigan & Pickering. Behavioral and Brain Sciences. [pdf]
*Ito, A., Martin, A. E., & Nieuwland, M. S. (2017). Why the A/AN prediction effect may be hard to replicate: A rebuttal to Delong, Urbach, & Kutas . Language, Cognition and Neuroscience. [pdf]
Doumas, L. A. A., Hamer, A., Puebla, G., & Martin, A. E. (2017). A theory of the detection and learning of stimulus similarity and magnitude. Proceedings of the 39th Annual Conference of the Cognitive Science Society. [pdf]

2016

Doumas, L. A. A. & Martin, A. E. (2016). Abstraction in time: Finding hierarchical linguistic structure in a model of relational processing. Proceedings of the 38th Annual Conference of the Cognitive Science Society. [pdf]
Martin, A. E. (2016). Language processing as cue integration: Grounding the psychology of language in perception and neurophysiology. Frontiers in Psychology: Language Sciences. [pdf]
Martin, A. E.**, Monahan, P. J.**, & Samuel, A. G. (2016). Prediction of agreement and phonetic overlap shape sublexical identification. Language and Speech. [pdf] (**equal authorship contribution, alphabetical listing)
*Ito, A., Martin, A. E. & Nieuwland, M. S. (2016). How robust are prediction effects in language comprehension? Failure to replicate article-elicited N400 effects. Language, Cognition, and Neuroscience. [pdf]
*Ito, A., Corley, M., Pickering, M., Martin, A. E., & Nieuwland, M. S. (2016). Predicting form and meaning: Evidence from brain potentials. Journal of Memory and Language. [pdf]

2014

Martin, A. E., Nieuwland, M. S., & Carreiras, M. (2014). Agreement attraction during comprehension of grammatical sentences: ERP evidence from ellipsis. Brain and Language. [pdf]

2013

Davidson, D. J. & Martin, A. E. (2013). Modelling accuracy as a function of response time with the generalized linear mixed effects model. Acta Psychologica. [pdf]
Nieuwland, M. S., Martin, A. E., & Carreiras, M. (2013). Event-related brain potential evidence for animacy processing asymmetries during sentence comprehension. Brain and Language. [pdf]

2012

Nieuwland, M. S. & Martin, A. E. (2012). If the real-world were irrelevant, so to speak: The role of propositional truth-value in counterfactual sentence comprehension. Cognition. [pdf]
Martin, A. E., Nieuwland, M. S., & Carreiras, M. (2012). Event-related brain potentials index cue-based retrieval interference during sentence comprehension. NeuroImage. [pdf]
Nieuwland, M. S., Martin, A. E., & Carreiras, M. (2012). Brain regions that process case: Evidence from Basque. Human Brain Mapping. [pdf]

2011

Martin, A. E. & McElree, B. (2011). Direct-access retrieval during sentence comprehension: Evidence from Sluicing. Journal of Memory and Language. [pdf]

2009

Pylkkanen, L., Martin, A. E., McElree, B., & Smart, A. (2009). The Anterior Midline Field: Coercion or decision making?. Brain and Language. [pdf]
Martin, A. E. & McElree, B. (2009). Memory operations that support language comprehension: Evidence from verb-phrase ellipsis. Journal of Experimental Psychology: Learning, Memory, and Cognition. [pdf]

2008

Ashby, J., Martin, A. E. (2008). Prosodic phonological representations in early visual word recognition. Journal of Experimental Psychology: Human Perception and Performance. [pdf]
Martin, A. E. & McElree, B. (2008). A content-addressable pointer mechanism underlies comprehension of verb-phrase ellipsis. Journal of Memory and Language. [pdf]